search_experience
AI agents call search_experience to retrieve information from Nima Career without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Despite empty description, context indicates this tool searches or queries pre-approved career history data. No creation, modification, deletion, execution, or financial operations are evident. The 'search_' prefix and sibling list/get tools suggest read-only retrieval.
From the tool's definition Tool named 'search_experience' with sibling tools like 'list_experience', 'get_role', 'get_project' that suggest querying/retrieving career data. Server explicitly curates 'public-safe' pre-approved material.
Attacks that exploit this kind of access
search_experience. It is categorised as a Read tool in the Nima Career MCP Server, which means it retrieves data without modifying state.
Register the Nima Career MCP server in PolicyLayer and add a rule for search_experience: 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 Nima Career. Nothing to install.
search_experience 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 search_experience 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 search_experience. 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.
search_experience is provided by the Nima Career MCP server (nima-karami/nima-career-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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