Start a deep research session: multi-source search (Tavily/Brave/arXiv/PubMed/Tushare) + CRAAP source evaluation + cross-verification → professional HTML/DOCX/PDF report. IMPORTANT: This tool returns IMMEDIATELY with a task_id. The research runs in the background and takes ~8-12 minutes. After ca...
AI agents invoke harness_research to trigger actions in Harness Research MCP. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
This tool executes a complex, multi-step research operation that queries external data sources and generates reports based on user-provided search parameters. While it does not modify persistent data or perform destructive operations, it triggers external computational operations and API calls whose specific effects depend on the arguments (research topic/query).
From the tool's definition Tool description states it 'Start[s] a deep research session' with multi-source search aggregation, source evaluation, and cross-verification that triggers a background process.
Risk signalsBulk/mass operation — affects multiple targets
Documented attack patterns abuse exactly the kind of access harness_research gives an agent:
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_research:
{
"version": "1",
"default": "deny",
"tools": {
"harness_research": {
"limits": [
{
"counter": "harness_research_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}harness_research stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
Free to start. No card required.
Start a deep research session: multi-source search (Tavily/Brave/arXiv/PubMed/Tushare) + CRAAP source evaluation + cross-verification → professional HTML/DOCX/PDF report. IMPORTANT: This tool returns IMMEDIATELY with a task_id. The research runs in the background and takes ~8-12 minutes. After calling this tool, you MUST poll harness_status with the returned task_id every 30-60 seconds until status is. It is categorised as a Execute tool in the Harness Research MCP MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Harness Research MCP server in PolicyLayer and add a rule for harness_research: 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.
harness_research is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the harness_research 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 harness_research. 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.
harness_research 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.
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.