search_index
Search your Azure AI Search index using the optimal retrieval method.
This record as markdown: /tools/0lovesakura0-mcp-server-azure-ai-agents-main/search-index.md
What search_index does on Azure AI Agent Service + Azure AI Search MCP Server
AI agents call search_index to retrieve information from Azure AI Agent Service + Azure AI Search MCP Server without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why search_index is rated Low
This tool retrieves or queries data from an Azure AI Search index without creating, modifying, deleting, or executing side effects. It is a standard read operation with minimal risk unless the indexed documents themselves contain sensitive information—a concern of data sensitivity rather than tool capability.
From the tool's definition Tool name 'search_index' and description 'Search your Azure AI Search index' indicate a query/retrieval operation with no modification of data. Sibling tools (hybrid_search, keyword_search, vector_search, web_search) are all search/query operations.
Attacks that exploit this kind of access
The rule that runs search_index safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Azure AI Agent Service + Azure AI Search MCP Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For search_index, this is the rule to start with:
search_index is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Azure AI Agent Service + Azure AI Search MCP Server, apply this rule, and every search_index call is checked against it from then on.
Questions about search_index
Search your Azure AI Search index using the optimal retrieval method. It is categorised as a Read tool in the Azure AI Agent Service + Azure AI Search MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Azure AI Agent Service + Azure AI Search MCP Server MCP server in PolicyLayer and add a rule for search_index: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Azure AI Agent Service + Azure AI Search MCP Server. Nothing to install.
search_index is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the search_index rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for search_index. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
search_index is provided by the Azure AI Agent Service + Azure AI Search MCP Server MCP server (0lovesakura0/mcp-server-azure-ai-agents-main). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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