AI agents call list_badge_skills 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 queries badge skills from local resume documents with no side effects. It performs data retrieval only, consistent with the Read category. Severity is low because it accesses only personal resume information with no financial, destructive, or system-level impacts.
From the tool's definition Tool name is 'list_badge_skills' and sibling tools include 'get_achievement', 'get_resume', 'get_education', 'get_work_experience'—all retrieval operations on resume documents.
Attacks that exploit this kind of access
list_badge_skills. 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_badge_skills: 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_badge_skills 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_badge_skills 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_badge_skills. 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_badge_skills 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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