What is Azure Search Ops?

Operating instructions for Azure AI Search, Microsoft’s search service, and the knowledge base used by a field-operations agent. It focuses on keeping indexed content current, schemas correct, and search results useful.

Updating indexed documentation, checking index and indexer settings, maintaining knowledge sources and knowledge bases, and testing retrieval quality.

It gives developers a defined process for diagnosing and improving the documents an agent retrieves.

Azure Search Ops — Skill for Claude Code and Codex by microsoft

About the project

microsoft/Build26-BRK242-turn-your-agents-into-action-connect-tools-apis-and-documents contains Microsoft Build 2026 session resources about connecting AI agents to tools, APIs, and documents through governed tool selection. It is intended for developers building agents that need efficient access to MCP servers, A2A, OpenAPI, connectors, built-in tools, and structured content from multimodal files. The catalogue add-ons are session instructions for exploring these agent-building patterns.

microsoft/Build26-BRK242-turn-your-agents-into-action-connect-tools-apis-and-documents · 10 stars · on GitHub · build.microsoft.com

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent

npx skills add microsoft/Build26-BRK242-turn-your-agents-into-action-connect-tools-apis-and-documents --skill azure-search

Clone the repo

git clone --depth 1 https://github.com/microsoft/Build26-BRK242-turn-your-agents-into-action-connect-tools-apis-and-documents

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/skills/microsoft/build26-brk242-turn-your-agents-into-action-connect-tools-apis-and-documents/azure-search/github.svg)](https://agentmods.dev/skills/microsoft/build26-brk242-turn-your-agents-into-action-connect-tools-apis-and-documents/azure-search)

Your own site

<a href="https://agentmods.dev/skills/microsoft/build26-brk242-turn-your-agents-into-action-connect-tools-apis-and-documents/azure-search"><img src="https://agentmods.dev/badge/skills/microsoft/build26-brk242-turn-your-agents-into-action-connect-tools-apis-and-documents/azure-search/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/skills/microsoft/build26-brk242-turn-your-agents-into-action-connect-tools-apis-and-documents/azure-search"><img src="https://agentmods.dev/badge/skills/microsoft/build26-brk242-turn-your-agents-into-action-connect-tools-apis-and-documents/azure-search.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 23 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 2,132 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00023	$0.02132
Opus 5	$0.00012	$0.01066
Sonnet 5	$0.00005	$0.00426
Haiku 4.5	$0.00002	$0.00213

Measured 12d ago against content hash 4dfc3a2923d4, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

Azure Search Ops scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

ops are the inline `az`/`curl` commands below.

src/fibey/.github/skills/azure-search/SKILL.md · 195 lines

How it starts

The opening of the file, as written. The whole thing — 195 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Azure Search Ops Skill

You are a specialist for operating the Azure AI Search index and the Knowledge Base (KB) that the Fibey agent uses via Foundry Toolbox / FoundryIQ. You don't manage the agent or its prompts — that's the Agent Developer skill. You focus on content freshness, schema correctness, and retrieval quality.

Mental model

services/foundry-iq-docs/docs/*.md
        │
        ▼  Blob container "foundry-iq-docs"
        │
        ▼  AI Search indexer "foundry-iq-docs-indexer"
        │
        ▼  AI Search index   "foundry-iq-docs-index"
        │       └─ semantic config "default"
        │
        ▼  Knowledge Source  "fibey-field-ops-ks"  (kind=searchIndex)
        │
        ▼  Knowledge Base    "fibey-field-ops-kb"
        │
        ▼  Foundry connection "fibey-search"  (CognitiveSearch + ApiKey)
        │
        ▼  Foundry Toolbox  →  agent retrieves via azure_ai_search tool

Key facts

Search service API version (index/indexer ops): 2024-07-01.
Knowledge Base API version: 2026-04-01 (GA). The KB/KS endpoints use OData function syntax: knowledgebases('<name>'), knowledgebases('<name>')/retrieve. Path-style /knowledgebases/<name> returns HTTP 405.
Knowledge Source body: { kind: "searchIndex", searchIndexParameters: { searchIndexName, sourceDataFields, ... } }.
KB retrieve body: { intents: [ { search: "<query>", type: "semantic" } ], knowledgeSourceParams: [ ... ] }.
Foundry connection that works: CognitiveSearch + ApiKey + Foundry tool type azure_ai_search. RemoteTool + ProjectManagedIdentity -> KB MCP endpoint returns HTTP 403.
Indexer status reset is NOT terminal — it represents the prior reset request, not the in-flight run. Poll past it.
Bootstrap is done by scripts/setup-knowledge-base.sh (kept). Day-to-day ops are the inline az/curl commands below.

Required env

Var	Used for
`AZURE_RESOURCE_GROUP`	Resolves search service / storage
`AZURE_SEARCH_ENDPOINT`	Override; otherwise `https://<svc>.search.windows.net`
`AZURE_SEARCH_ADMIN_KEY`	Override; otherwise fetched via `az search admin-key show`
`STORAGE_ACCOUNT`	Override; otherwise from azd outputs

Read the full file on GitHub · 195 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

12d ago First seen · 195 lines · 23 tokens per session scan A 4dfc3a2923d4

Subscribe to this mod's changes

Azure Search Ops is a skill published in the GitHub repository microsoft/Build26-BRK242-turn-your-agents-into-action-connect-tools-apis-and-documents (10 stars, last pushed 23d ago), licensed MIT. It adds 23 tokens to every session and 2,132 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Backend and APIs Data and AI ai-agents ai-search api-integration azure azure-ai-foundry build-2026 foundryiq knowledge-base mcp microsoft-build ops

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Azure Search Ops