Query documents with natural language. This method allows asking direct questions of your documents - where possible an answer will be provided. Search results will be restricted to those accessible by the current access token. Note that
AI agents call ask_documents to retrieve information from Outline without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves or queries document data using natural language processing. It returns answers based on document content but does not create, modify, delete, or execute code. The restriction to accessible documents via current access token confirms read-only access. The low severity reflects minimal blast radius—misuse would only expose information already accessible to the token holder.
From the tool's definition Tool name 'ask_documents' and description states it 'Query documents with natural language' and 'allows asking direct questions of your documents'. The phrase 'Search results will be restricted' further indicates data retrieval rather than modification.
Attacks that exploit this kind of access
Query documents with natural language. This method allows asking direct questions of your documents - where possible an answer will be provided. Search results will be restricted to those accessible by the current access token. Note that. It is categorised as a Read tool in the Outline MCP Server, which means it retrieves data without modifying state.
Register the Outline MCP server in PolicyLayer and add a rule for ask_documents: 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 Outline. Nothing to install.
ask_documents 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 ask_documents 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 ask_documents. 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.
ask_documents is provided by the Outline MCP server (outline-mcp-server). 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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