detect_tells
AI agents call detect_tells to retrieve information from HumanizeMCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool appears to scan or analyze text to find AI-detection indicators ('tells'), which is a read operation with no side effects—it retrieves or queries information about text properties. No data is modified, deleted, or executed.
From the tool's definition Tool name 'detect_tells' combined with server context describing 'detection and verification against AI detectors' indicates this tool analyzes text to identify markers of AI generation.
Attacks that exploit this kind of access
detect_tells. It is categorised as a Read tool in the HumanizeMCP MCP Server, which means it retrieves data without modifying state.
Register the Humanize MCP server in PolicyLayer and add a rule for detect_tells: 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 HumanizeMCP. Nothing to install.
detect_tells 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 detect_tells 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 detect_tells. 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.
detect_tells is provided by the Humanize MCP server (kitfoxs/humanize-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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