Low Risk

search_contributions

Search Pavan's open source contributions by project name.

How to control search_contributions ↓

What search_contributions does on Pavan Madduri — Personal Knowledge MCP Server

AI agents call search_contributions to retrieve information from Pavan Madduri — Personal Knowledge MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

Why search_contributions needs a policy

This tool performs a search/query operation on publicly available open source contribution data. It retrieves information based on a search parameter but does not create, modify, delete, or execute any operations. The action is read-only and has no side effects, fitting the Read category. Severity is low because misuse would only result in information disclosure of publicly available professional data.

From the tool's definition Tool name 'search_contributions' and description 'Search Pavan's open source contributions by project name' indicate a query-only operation that retrieves data without modification or side effects.

Documented attack patterns abuse exactly the kind of access search_contributions gives an agent:

How to control search_contributions

PolicyLayer is an MCP gateway — it sits between your AI agents and Pavan Madduri — Personal Knowledge MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for search_contributions:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "search_contributions": {}
  }
}

search_contributions is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Pavan Madduri — Personal Knowledge MCP Server — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Related tools and policies

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Questions about search_contributions

What does the search_contributions tool do? +

Search Pavan's open source contributions by project name. It is categorised as a Read tool in the Pavan Madduri — Personal Knowledge MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on search_contributions? +

Register the Pavan Madduri — Personal Knowledge MCP Server MCP server in PolicyLayer and add a rule for search_contributions: 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 Pavan Madduri — Personal Knowledge MCP Server. Nothing to install.

What risk level is search_contributions? +

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

Can I rate-limit search_contributions? +

Yes. Add a rate_limit block to the search_contributions 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.

How do I block search_contributions completely? +

Set action: deny in the PolicyLayer policy for search_contributions. 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 search_contributions? +

search_contributions is provided by the Pavan Madduri — Personal Knowledge MCP Server MCP server (pmady/pavan-profile-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Pavan Madduri — Personal Knowledge MCP Server tool call.

Start from Pavan Madduri — Personal Knowledge MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

Free to start. No card required.

7 Pavan Madduri — Personal Knowledge MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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