Low Risk

harness_search

Quick multi-source search without generating a full report. Returns structured results from Tavily, Brave, arXiv, and PubMed. Completes in seconds.

How to control harness_search ↓

What harness_search does on Harness Research MCP

AI agents call harness_search to retrieve information from Harness Research MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

Why harness_search needs a policy

This is a search and aggregation tool that queries external data sources and returns results. It has no side effects—it does not create, modify, delete, execute code, or commit financial transactions. The operation is read-only retrieval of information from public research and search APIs. Severity is low because misuse would only expose publicly available information, not cause damage.

From the tool's definition Tool description states it 'Returns structured results' from multiple search sources (Tavily, Brave, arXiv, PubMed) and performs 'Quick multi-source search.' It retrieves and aggregates data without modifying or deleting anything.

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

How to control harness_search

PolicyLayer is an MCP gateway — it sits between your AI agents and Harness Research MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for harness_search:

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

harness_search 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 Harness Research MCP — 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 harness_search

What does the harness_search tool do? +

Quick multi-source search without generating a full report. Returns structured results from Tavily, Brave, arXiv, and PubMed. Completes in seconds. It is categorised as a Read tool in the Harness Research MCP MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on harness_search? +

Register the Harness Research MCP server in PolicyLayer and add a rule for harness_search: 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 Harness Research MCP. Nothing to install.

What risk level is harness_search? +

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

Can I rate-limit harness_search? +

Yes. Add a rate_limit block to the harness_search 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 harness_search completely? +

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

harness_search is provided by the Harness Research MCP server (nimo1987/harness-research). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Harness Research MCP tool call.

Start from Harness Research MCP, 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.

3 Harness Research MCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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