Search through stored documentation using natural language queries. Use this tool to find relevant information across all stored documentation sources. Returns matching excerpts with context, ranked by relevance. Useful for finding specific information, code examples, or related documentation.
AI agents call search_documentation to retrieve information from RAG Documentation MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and queries documentation without creating, modifying, or deleting data, and does not execute code or trigger external operations. It is a straightforward information retrieval function analogous to a search index lookup, presenting minimal security risk even if misused by an AI agent.
From the tool's definition Tool performs 'search through stored documentation' and 'returns matching excerpts with context' — purely retrieval operations with no modification, deletion, or execution capabilities.
Attacks that exploit this kind of access
Search through stored documentation using natural language queries. Use this tool to find relevant information across all stored documentation sources. Returns matching excerpts with context, ranked by relevance. Useful for finding specific information, code examples, or related documentation. It is categorised as a Read tool in the RAG Documentation MCP Server MCP Server, which means it retrieves data without modifying state.
Register the RAG Documentation MCP Server MCP server in PolicyLayer and add a rule for search_documentation: 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 RAG Documentation MCP Server. Nothing to install.
search_documentation 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_documentation 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_documentation. 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_documentation is provided by the RAG Documentation MCP Server MCP server (jumasheff/mcp-ragdoc-fork). 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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