Analyze an AI claim against actual code to detect lies
AI agents call analyze_claim to retrieve information from SlopWatch MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs a query-like operation that retrieves and compares data (claims vs. code) to produce an analysis result. There is no indication of side effects, code execution, data modification, or irreversible actions. It is fundamentally a Read operation: it ingests input and produces an informational output without changing system state.
From the tool's definition The tool name 'analyze_claim' and description 'Analyze an AI claim against actual code to detect lies' indicate a comparison and analysis operation.
Documented attack patterns abuse exactly the kind of access analyze_claim gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and SlopWatch MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for analyze_claim:
{
"version": "1",
"default": "deny",
"tools": {
"analyze_claim": {}
}
}analyze_claim is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Analyze an AI claim against actual code to detect lies. It is categorised as a Read tool in the SlopWatch MCP Server MCP Server, which means it retrieves data without modifying state.
Register the SlopWatch MCP Server MCP server in PolicyLayer and add a rule for analyze_claim: 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 SlopWatch MCP Server. Nothing to install.
analyze_claim 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_claim 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_claim. 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_claim is provided by the SlopWatch MCP Server MCP server (joodascode/slopwatch). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from SlopWatch MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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7 SlopWatch MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.