score_resume_quality
AI agents call score_resume_quality to retrieve information from Resume Forge MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Based on the tool name, it likely analyzes and scores a resume for quality without modifying any data. The server context involves resume generation and quality scoring, suggesting this is a read/analysis operation. Confidence is reduced due to the empty description.
From the tool's definition Tool name 'score_resume_quality' and server context of resume generation/scoring; description is empty and uninformative.
Attacks that exploit this kind of access
score_resume_quality. It is categorised as a Read tool in the Resume Forge MCP MCP Server, which means it retrieves data without modifying state.
Register the Resume Forge MCP server in PolicyLayer and add a rule for score_resume_quality: 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 Forge MCP. Nothing to install.
score_resume_quality 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 score_resume_quality 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 score_resume_quality. 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.
score_resume_quality is provided by the Resume Forge MCP server (jitendrasinghsankhwar/resume-forge-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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