Search through work experience for specific keywords or companies
AI agents call search_experience to retrieve information from Rishi's Interactive Resume MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs a read-only search operation on a resume dataset. It retrieves information based on keyword or company filters but does not create, modify, delete, or execute any operations. The function is analogous to a search or query operation that has no side effects on the underlying data or external systems.
From the tool's definition Tool name 'search_experience' and description 'Search through work experience for specific keywords or companies' indicate retrieval and querying of resume data without modification, deletion, or execution of external operations.
Attacks that exploit this kind of access
Search through work experience for specific keywords or companies. It is categorised as a Read tool in the Rishi's Interactive Resume MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Rishi's Interactive Resume MCP Server 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 Rishi's Interactive Resume MCP Server. 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 Rishi's Interactive Resume MCP Server MCP server (rishia/rishi-resume-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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