AI agents call analyze_findings to retrieve information from CHAI pentest tool without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool processes and reviews existing findings (presumably from previous scans or reports) and produces summaries or analysis. It reads and interprets data but does not create, modify, delete, execute commands, or initiate external actions.
From the tool's definition Tool name 'analyze_findings' with description 'Analyze and summarize findings' indicates data analysis and summarization without modification or execution of external operations. The verb 'analyze' and 'summarize' are retrieval and reporting actions.
Documented attack patterns abuse exactly the kind of access analyze_findings gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and CHAI pentest tool, and nothing reaches the server without passing your rules. This is the rule we recommend for analyze_findings:
{
"version": "1",
"default": "deny",
"tools": {
"analyze_findings": {}
}
}analyze_findings is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Analyze and summarize findings. It is categorised as a Read tool in the CHAI pentest tool MCP Server, which means it retrieves data without modifying state.
Register the CHAI pentest tool MCP server in PolicyLayer and add a rule for analyze_findings: 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 CHAI pentest tool. Nothing to install.
analyze_findings 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 analyze_findings 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 analyze_findings. 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.
analyze_findings is provided by the CHAI pentest tool MCP server (nihar-sarkar/chai). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from CHAI pentest tool, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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16 CHAI pentest tool tools catalogued and risk-classified — across an index of 43,000+ MCP servers.