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APIs / Cloud Infrastructure / Azure / SearchManagementClient
SearchManagementClient logo

Microsoft Azure SearchManagementClient

Browse all Azure APIs
41
AI ReadinessFoundational (D-)41/100
See full scorecard
Agent-ready OpenAPI document · curated by JenticCloud InfrastructureComputeoauth213 EndpointsREST

Know of an official OpenAPI document? Contribute it →

For Agents

Provision Azure Cognitive Search service resources, scale replicas and partitions, and manage admin and query keys at the ARM control plane.

Use for: I want to provision a new Azure Cognitive Search service, Scale a search service to more replicas, Regenerate the primary admin key on a search service, List the query keys for a search service

Not supported: Does not query indexes, define index schemas, or run indexers - use for provisioning, scaling, and credential management of search services only.

Jentic publishes the only available OpenAPI specification for SearchManagementClient, keeping it validated and agent-ready. The Azure Cognitive Search ARM control plane API provisions, scales, and manages search service resources inside a subscription. Agents can create or delete a search service, change its replica and partition counts, regenerate admin keys, mint or revoke query keys, and check name availability before creation. This is the lifecycle API behind any Cognitive Search deployment.

Jentic One on GithubView OpenAPI Document

Install Jentic One Beta

Connect the SearchManagementClient to your agent

Jentic One is a self-hosted execution layer for AI agents. It lets your agent call the SearchManagementClient, or any other public or private API you need. You set the rules, the agent never sees your credentials, and every call is logged.

Two steps, two machines. Install the instance in a safe environment, then register your agent from wherever it runs.

1

Step 1: Jentic One Host machine

# On the machine that will host your Jentic One instance:
curl -fsSL "https://jentic.com/install.sh?src=apis&api=%2Fapis%2Fazure.com%2Fsearchmanagementclient" | sh
2

Step 2: Agent machine

# On the machine where your agent runs (keep this separate from the instance):
curl -fsSL "https://jentic.com/install.sh?src=apis&api=%2Fapis%2Fazure.com%2Fsearchmanagementclient" | sh
jentic register       # connects your agent to your Jentic One instance

Jentic One is in public beta. The setup above keeps your agent separate from the instance, which is what you want before using real credentials: an agent running as the same OS user as Jentic One can read its stored keys directly. Just evaluating? A single local install is fine to start. See the secure deployment guide for the tiers.

Capabilities

What an agent can do with SearchManagementClient API.

Create or delete a Cognitive Search service in a resource group

Update a search service's replica and partition counts to scale read or storage capacity

Regenerate primary or secondary admin keys to rotate credentials

Mint and revoke query keys scoped to specific applications

List query keys configured against a search service

Check whether a search service name is globally available before creation

Use Cases

Patterns agents use SearchManagementClient API for, with concrete tasks.

★ Search Service Provisioning at Scale

Platform teams use SearchManagementClient to provision Cognitive Search services as part of an environment template. The PUT operation accepts SKU, replica count, partition count, and host mode, returning a long-running operation handle. Multiple services can be provisioned in parallel under the same subscription, each landing in its own resource group with its own admin and query keys.

PUT /subscriptions/{subscriptionId}/resourceGroups/{rg}/providers/Microsoft.Search/searchServices/{name} with sku=standard, replicaCount=2, partitionCount=1 and poll until provisioningState is Succeeded

Capacity Scaling for Read Throughput

When query volume rises, SREs scale a Cognitive Search service horizontally by increasing its replica count. The PATCH endpoint accepts the new replicaCount and partitionCount, and Azure handles the rebalance. Partitions scale storage; replicas scale query throughput. Both can be raised independently up to the SKU's ceiling.

PATCH the search service with replicaCount=4 to double the read throughput of the existing service

Key Rotation for Compliance

Security teams rotate Cognitive Search admin keys on a regular cadence. The regenerateAdminKey POST takes either primary or secondary as the key kind so callers can rotate one key while applications continue to use the other. Query keys can be created and revoked individually so per-application credentials never get reused across teams.

POST regenerateAdminKey with keyKind=primary on service mysearch and confirm the new key value is returned in the response

Agent-Driven Search Provisioning via Jentic

Through Jentic, a platform agent can search for provision azure cognitive search, load the search service PUT schema, populate it with SKU and capacity parameters, and execute the call with a managed Azure OAuth token. The same flow can mint query keys and pass them to the data plane SearchIndexClient operations, all without exposing raw secrets.

Search Jentic for provision azure cognitive search, load the search service PUT schema, execute it with sku=basic and replicaCount=1, then call createQueryKey to mint a key for the application

Key Endpoints

13 endpoints — jentic publishes the only available openapi specification for searchmanagementclient, keeping it validated and agent-ready.

METHOD

PATH

DESCRIPTION

PUT

/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Search/searchServices/{searchServiceName}

Create or update a search service

PATCH

/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Search/searchServices/{searchServiceName}

Scale replicas or partitions

POST

/subscriptions/{subscriptionId}/providers/Microsoft.Search/checkNameAvailability

Check service name availability

POST

/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Search/searchServices/{searchServiceName}/listAdminKeys

List admin keys

POST

/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Search/searchServices/{searchServiceName}/regenerateAdminKey/{keyKind}

Regenerate an admin key

POST

/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Search/searchServices/{searchServiceName}/createQueryKey/{name}

Create a query key

PUT

/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Search/searchServices/{searchServiceName}

Create or update a search service

PATCH

/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Search/searchServices/{searchServiceName}

Scale replicas or partitions

POST

/subscriptions/{subscriptionId}/providers/Microsoft.Search/checkNameAvailability

Check service name availability

POST

/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Search/searchServices/{searchServiceName}/listAdminKeys

List admin keys

POST

/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Search/searchServices/{searchServiceName}/regenerateAdminKey/{keyKind}

Regenerate an admin key

POST

/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Search/searchServices/{searchServiceName}/createQueryKey/{name}

Create a query key

Jentic AI Readiness Score

This API is usable in Jentic One now. Its AI-readiness score against Jentic's framework shows where it stands today and where improvements would make it even easier for agents to use.

S

SearchManagementClient

- Foundational (D-)
41/100
73
Foundational Compliance
63
Developer Experience & Jentic Compatibility
19
AI-Readiness & Agent Experience
94
Agent Usability
35
Security
100
AI Discoverability
Powered by JenticScoring Framework 1.0.0 | Scoring Engine 0.4.0
Show dimension breakdown
73

Foundational Compliance

Base layer of spec validity and structural soundness.

Grade: A-Signals: 4
92%

Lint Results

Aggregated quality score from linter diagnostics, weighted by severity.

100%

Resolution Completeness

Percentage of `$ref` references that resolve successfully.

0%

Specification Validity

Checks whether the API description parses successfully and conforms to its declared specification (e.g., OpenAPI).

100%

Structural Integrity

Structural correctness score based on schema issues using logarithmic dampening.

63

Developer Experience & Jentic Compatibility

Clarity, completeness, and ingestion readiness for developers and tooling.

Grade: B-Signals: 4
0%

Example Density

How richly the API is illustrated with examples.

100%

Example Validity

Percentage of examples that conform to their schemas.

52%

Response Coverage

Percentage of operations with complete response definitions (success, client error, server error).

100%

Tooling Readiness

Health of API ingestion, bundling, and resolution within Jentic pipelines.

19

AI-Readiness & Agent Experience

Semantic breadth, depth, and agent comprehension for AI systems.

Grade: FSignals: 4
74%

Description Coverage

Coverage of descriptions across API elements.

0%

Error Standardization

Coverage of RFC 9457 Problem Details for error responses.

0%

OperationId Quality

Coverage, uniqueness, and casing consistency of operationIds for AI inference.

0%

Summary Coverage

Coverage of summaries across operations/tags/info.

94

Agent Usability

Functional utility, complexity comfort, and AI orchestration readiness.

Grade: A+Signals: 1
94%

Complexity Comfort

Agent comfort level based on API operational and structural complexity.

35

Security

Trust, risk posture, and security compliance.

Grade: FSignals: 1
35%

Authentication Strength

Average quality of security schemes based on authentication method strength (weakest link for OAuth2).

100

AI Discoverability

Findability, semantic richness, and reasoning readiness.

Grade: A+Signals: 1
100%

Descriptive Richness

Clarity and depth of descriptions across API elements.

View full reportHow the score is calculatedMore about the dimensions

Score it yourself

Every API in the directory is allowlisted, so you can re-score it with no key required.

Score your own APIScoring CLI agent skill
npx @jentic/api-scorecard-cli score <openapi-url>

Why Jentic?

What agents get from Jentic-routed access to this vendor.

Setup

Wiring SearchManagementClient by hand means registering an Azure AD app, running the OAuth2 azure_auth token exchange for the management.azure.com audience, and building the ARM long-running-operation polling loop plus the key-management endpoint shapes. Through Jentic you install once, import SearchManagementClient from the API Directory, store the Azure service principal credential once, and your agent calls it.

Permission scoping

SearchManagementClient puts the subscription, resource group, and search service name in the URL path (.../searchServices/{searchServiceName}), so a rule can pin your agent to one search service. You choose the operations it may call, so destructive ones like regenerating an admin key or deleting the service are not included unless you add them.

Credential isolation

Your Azure service principal credential is stored once, encrypted, by your own Jentic One instance and injected at execution time. It never enters the agent's prompt, logs, or context.

Intent-based discovery

Agents search Jentic by intent such as 'provision an Azure Cognitive Search service' or 'scale a search service to more replicas', and Jentic returns the matching SearchManagementClient operation with its input schema across service CRUD, scaling, and key management.

Related APIs

Alternatives and complements available in the Jentic catalogue.

Complementary

Azure SearchIndexClient

→

Data plane API that queries and indexes documents in services this API provisions

Use after provisioning a service here to push documents and run queries against it

Complementary

Azure SearchServiceClient

→

Data plane API that defines the indexes and indexers running inside the service

Use after provisioning to define the index schema, indexers, and skillsets

Complementary

Azure ResourceManagementClient

→

Provisions the resource group and ARM context where the search service lives

Use first to create or select the resource group hosting the search service

Alternative

Algolia Search API

→

Hosted search-as-a-service alternative outside the Azure stack

Choose when the team prefers a fully managed search service not tied to Azure ARM lifecycle

FAQs

Specific to using SearchManagementClient API through Jentic.

Why is there no official OpenAPI spec for SearchManagementClient?

Microsoft Azure does not publish a unified OpenAPI specification for the Cognitive Search ARM control plane. Jentic generates and maintains this spec so that AI agents and developers can call SearchManagementClient via structured tooling. It is validated against the live Azure Resource Manager API and kept up to date. Get started with Jentic One, the self-hosted execution layer.

What authentication does SearchManagementClient use?

It uses Azure Active Directory OAuth 2.0 via the azure_auth flow. Acquire a bearer token for https://management.azure.com/.default and pass it as Authorization: Bearer. Note that this is the management plane; data plane calls to the SearchIndexClient use api-key headers instead.

Can I scale a search service after it is created?

Yes. PATCH to .../searchServices/{searchServiceName} with new replicaCount or partitionCount. Replicas scale read throughput, partitions scale storage and indexing throughput. Both are bounded by the SKU you provisioned.

How do I regenerate an admin key without downtime?

Each search service has primary and secondary admin keys. Switch your applications to use the secondary key, then POST regenerateAdminKey with keyKind=primary. Once applications confirm they are using the new primary, repeat for the secondary. This rotates both keys with zero downtime.

What are the rate limits for SearchManagementClient?

Calls count against Azure Resource Manager subscription throttling, roughly 12,000 reads and 1,200 writes per hour per subscription. Service creation and scale operations are long-running and complete asynchronously, so the throttle bucket only counts the initial PUT or PATCH call.

How do I provision a search service through Jentic?

Search Jentic for provision azure cognitive search, call client.load on the search service PUT operation to receive its input schema, then call client.execute with subscriptionId, resourceGroupName, searchServiceName, sku, and replica and partition counts. Jentic injects the OAuth token and returns the long-running operation handle.

Can I limit what my agent is allowed to do with the SearchManagementClient API?

Yes. Because you run Jentic One yourself, your own rules decide which SearchManagementClient operations and credentials the agent may use. The subscription, resource group, and search service name sit in the URL path (.../searchServices/{searchServiceName}), so you can pin the agent to a single search service. You also choose the exact operations it may call, so destructive actions like deleting a service or regenerating an admin key stay off-limits unless you explicitly grant them.

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View OpenAPI Document