Search for documents and provide detailed relevance analysis
AI agents call search_with_analysis to retrieve information from Azure AI Search MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs document search and analysis, which are read-only operations that retrieve and examine data without modifying, deleting, or executing code. The analysis aspect is post-retrieval processing of results. Even with broad search capabilities, the blast radius of misuse is limited to information disclosure, making it a low-severity Read operation.
From the tool's definition Tool name 'search_with_analysis' and description 'Search for documents and provide detailed relevance analysis' indicate querying/retrieval operations with analysis. No mutation, deletion, execution, or financial operations mentioned.
Attacks that exploit this kind of access
Search for documents and provide detailed relevance analysis. It is categorised as a Read tool in the Azure AI Search MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Azure AI Search MCP Server MCP server in PolicyLayer and add a rule for search_with_analysis: 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 Search MCP Server. Nothing to install.
search_with_analysis 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_with_analysis 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_with_analysis. 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_with_analysis is provided by the Azure AI Search MCP Server MCP server (mm-repos/langgraph-claude-azure-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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