Returns the URL to the candidate's resume
AI agents call get_resume_url to retrieve information from Candidate without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and returns a URL pointer to existing data (a resume). It does not modify, delete, execute, or create anything; it only queries and returns information. The operation is read-only with no side effects, placing it firmly in the Read category.
From the tool's definition Tool name is 'get_resume_url' and description states it 'Returns the URL to the candidate's resume' — a retrieval operation with no side effects.
Documented attack patterns abuse exactly the kind of access get_resume_url gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Candidate, and nothing reaches the server without passing your rules. This is the rule we recommend for get_resume_url:
{
"version": "1",
"default": "deny",
"tools": {
"get_resume_url": {}
}
}get_resume_url is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Returns the URL to the candidate's resume. It is categorised as a Read tool in the Candidate MCP Server, which means it retrieves data without modifying state.
Register the Candidate MCP server in PolicyLayer and add a rule for get_resume_url: 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 Candidate. Nothing to install.
get_resume_url 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_resume_url 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_resume_url. 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_resume_url is provided by the Candidate MCP server (jhgaylor/node-candidate-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Candidate, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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7 Candidate tools catalogued and risk-classified — across an index of 43,000+ MCP servers.