Low Risk

research_prospect

Creates a Markdown report on the person and organization received.

Part of the Fs Prospecting MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.

AI agents call research_prospect to perform operations in Fs Prospecting. While the risk category is not fully classified, applying a rate limit gives you visibility into how often the tool is called and prevents unexpected bursts of activity from autonomous agents.

Applying a policy to research_prospect gives you an audit trail of every call an AI agent makes. Even for low-risk tools, visibility into agent behaviour helps you debug issues, optimise workflows, and maintain compliance with your organisation's security requirements.

Apply a rate limit to control usage and monitor for unexpected behaviour.

vitor-baptista-fs-prospecting.yaml
tools:
  research_prospect:
    rules:
      - action: allow
        rate_limit:
          max: 60
          window: 60

See the full Fs Prospecting policy for all 1 tools.

Tool Name research_prospect
Category Other
Risk Level Low

Agents calling other-class tools like research_prospect have been implicated in these attack patterns. Read the full case and prevention policy for each:

Browse the full MCP Attack Database →

Other tools in the Other risk category across the catalogue. The same policy patterns (rate-limit, validate) apply to each.

What does the research_prospect tool do? +

Creates a Markdown report on the person and organization received.. It is categorised as a Other tool in the Fs Prospecting MCP Server, which means it performs auxiliary operations.

How do I enforce a policy on research_prospect? +

Add a rule in your Intercept YAML policy under the tools section for research_prospect. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Fs Prospecting MCP server.

What risk level is research_prospect? +

research_prospect is a Other tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit research_prospect? +

Yes. Add a rate_limit block to the research_prospect rule in your Intercept 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.

How do I block research_prospect completely? +

Set action: deny in the Intercept policy for research_prospect. 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.

What MCP server provides research_prospect? +

research_prospect is provided by the Fs Prospecting MCP server (vitor.baptista/fs-prospecting). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policies on Fs Prospecting

Open source. One binary. Zero dependencies.

npx -y @policylayer/intercept
github.com/policylayer/intercept →
// GET IN TOUCH

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