AI agents call get_achievement 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 a specific achievement record by ID from local resume/job application documents. It has no side effects, performs no data modification, and poses minimal risk. The operation is read-only data access, fitting the 'Read' category with low severity since it only accesses personal resume content.
From the tool's definition Tool name 'get_achievement' with description 'Get a single achievement (phrase skill) by ID' - uses 'Get' verb indicating retrieval operation with no modification or deletion of data.
Attacks that exploit this kind of access
Get a single achievement (phrase skill) by ID. 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 get_achievement: 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.
get_achievement 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_achievement 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_achievement. 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_achievement 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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