search_docs
AI agents call search_docs to retrieve information from Ansible Know without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool searches documentation, which is a read operation that retrieves information without side effects. No arguments are visible that would permit destructive, financial, or code execution actions. The context (Ansible documentation server for AI agents) confirms this is informational retrieval only.
From the tool's definition Tool name is 'search_docs' and belongs to a documentation/discovery server. Sibling tools include 'fetch_doc', 'get_collection_docs', 'get_module_doc', and 'get_collection_manifest' — all read-only documentation retrieval operations.
Attacks that exploit this kind of access
search_docs. It is categorised as a Read tool in the Ansible Know MCP Server, which means it retrieves data without modifying state.
Register the Ansible Know MCP server in PolicyLayer and add a rule for search_docs: 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 Ansible Know. Nothing to install.
search_docs 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_docs 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_docs. 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_docs is provided by the Ansible Know MCP server (leogallego/ansible-know-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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