Low Risk

skin_reasoning

Optimizes natural language text by removing linguistic noise (hedging, filler).

Part of the Agentskin MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.

agentskin Other

AI agents call skin_reasoning to perform operations in Agentskin. While the risk category is not fully classified, applying a rate limit gives you visibility into how often the tool is called and prevents unexpected bursts of activity from autonomous agents.

Applying a policy to skin_reasoning gives you an audit trail of every call an AI agent makes. Even for low-risk tools, visibility into agent behaviour helps you debug issues, optimise workflows, and maintain compliance with your organisation's security requirements.

Apply a rate limit to control usage and monitor for unexpected behaviour.

io-github-shawn5cents-agentskin.yaml
tools:
  skin_reasoning:
    rules:
      - action: allow
        rate_limit:
          max: 60
          window: 60

See the full Agentskin policy for all 2 tools.

Tool Name skin_reasoning
Category Other
Risk Level Low

Agents calling other-class tools like skin_reasoning have been implicated in these attack patterns. Read the full case and prevention policy for each:

Browse the full MCP Attack Database →

Other tools in the Other risk category across the catalogue. The same policy patterns (rate-limit, validate) apply to each.

What does the skin_reasoning tool do? +

Optimizes natural language text by removing linguistic noise (hedging, filler).. It is categorised as a Other tool in the Agentskin MCP Server, which means it performs auxiliary operations.

How do I enforce a policy on skin_reasoning? +

Add a rule in your Intercept YAML policy under the tools section for skin_reasoning. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Agentskin MCP server.

What risk level is skin_reasoning? +

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

Can I rate-limit skin_reasoning? +

Yes. Add a rate_limit block to the skin_reasoning rule in your Intercept 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 skin_reasoning completely? +

Set action: deny in the Intercept policy for skin_reasoning. 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 skin_reasoning? +

skin_reasoning is provided by the Agentskin MCP server (agentskin). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policies on Agentskin

Open source. One binary. Zero dependencies.

npx -y @policylayer/intercept
github.com/policylayer/intercept →
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