AI agents call list_resumes to retrieve information from Resume without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves or lists resume documents without modification. No side effects are performed, no data is deleted or overwritten, and no external operations are triggered. The pattern matches the Read category—a simple query operation to enumerate available resume documents from local storage.
From the tool's definition Tool name 'list_resumes' indicates a retrieval operation; sibling tools on this server (get_resume, get_education, get_work_experience, etc.) are all read-only getters; server's stated purpose is 'browsing and searching' local documents.
Attacks that exploit this kind of access
list_resumes. It is categorised as a Read tool in the Resume MCP Server, which means it retrieves data without modifying state.
Register the Resume MCP server in PolicyLayer and add a rule for list_resumes: 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 Resume. Nothing to install.
list_resumes 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 list_resumes 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 list_resumes. 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.
list_resumes is provided by the Resume MCP server (mnoomnoo/resume-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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