Get details of a specific document
AI agents call get_document to retrieve information from MCP Personal Assistant without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves document information without creating, modifying, deleting, or executing operations. It is a straightforward data query operation, making it a Read category tool with low severity. The use of 'Get' in both name and description confirms this is a non-destructive retrieval action.
From the tool's definition Tool name 'get_document' and description 'Get details of a specific document' indicate a retrieval operation with no modification or side effects.
Attacks that exploit this kind of access
Get details of a specific document. It is categorised as a Read tool in the MCP Personal Assistant MCP Server, which means it retrieves data without modifying state.
Register the MCP Personal Assistant MCP server in PolicyLayer and add a rule for get_document: 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 MCP Personal Assistant. Nothing to install.
get_document 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 get_document 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 get_document. 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.
get_document is provided by the MCP Personal Assistant MCP server (swapnilsurdi/mcp-pa). 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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