Returns the candidate's resume content as text
AI agents call get_resume_text 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 queries candidate resume data without creating, modifying, deleting, or executing any operations. It is a straightforward data retrieval function with minimal security risk. The only concern is potential unauthorized access to candidate personal information, but that is a data governance issue rather than a capability risk.
From the tool's definition Tool name 'get_resume_text' and description 'Returns the candidate's resume content as text' indicate a retrieval operation with no modification or side effects.
Documented attack patterns abuse exactly the kind of access get_resume_text 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_text:
{
"version": "1",
"default": "deny",
"tools": {
"get_resume_text": {}
}
}get_resume_text 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 candidate's resume content as text. 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_text: 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_text 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_text 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_text. 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_text 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.