Get all AI/ML related experience and projects
AI agents call get_ai_ml_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 retrieves or queries information from a resume database without modifying, deleting, or executing any operations. It is a passive data lookup operation with no side effects, irreversible consequences, or external process invocation. The low severity reflects minimal risk even if an AI agent calls it with any input—it simply returns resume data.
From the tool's definition Tool name 'get_ai_ml_experience' and description 'Get all AI/ML related experience and projects' indicate retrieval of data from a resume. The verb 'Get' and lack of any modification, deletion, or execution language confirm read-only behavior.
Attacks that exploit this kind of access
Get all AI/ML related experience and projects. 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 get_ai_ml_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.
get_ai_ml_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 get_ai_ml_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 get_ai_ml_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.
get_ai_ml_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.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
Teams ship this data inside their own products. See what a licence covers →