fn

AI-powered text processing. See runtime docs for per-tool details.

SERVERGadgetHumans API Hub SOURCEpypi:gadgethumans-api-hub-mcp

High RISK CLASS

Category Execute

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-scotia1973-bot-api-hub/fn.md

WHAT IT DOES

What fn does on GadgetHumans API Hub

AI agents invoke fn to trigger actions in GadgetHumans API Hub. 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.

RISK

Why fn is rated High

The tool description is vague and uninformative, providing no specific details about what actions it performs. 'AI-powered text processing' could range from simple read operations to executing arbitrary transformations or external calls. The reference to 'runtime docs for per-tool details' means the actual behavior is unknown at classification time.

From the tool's definition "AI-powered text processing" and "See runtime docs for per-tool details"

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs fn safely

PolicyLayer is an MCP gateway: it sits between your AI agents and GadgetHumans API Hub, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For fn, this is the rule to start with:

fn Rate-limited

fn 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.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "fn": {
      "limits": [
        {
          "counter": "fn_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect GadgetHumans API Hub, apply this rule, and every fn call is checked against it from then on.

FAQ

Questions about fn

What does the fn tool do? +

AI-powered text processing. See runtime docs for per-tool details. It is categorised as a Execute tool in the GadgetHumans API Hub MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on fn? +

Register the GadgetHumans API Hub MCP server in PolicyLayer and add a rule for fn: 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 GadgetHumans API Hub. Nothing to install.

What risk level is fn? +

fn is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit fn? +

Yes. Add a rate_limit block to the fn 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.

How do I block fn completely? +

Set action: deny in the PolicyLayer policy for fn. 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 fn? +

fn is provided by the GadgetHumans API Hub MCP server (pypi:gadgethumans-api-hub-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

KEEP EXPLORING

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Guides

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