create_metaphor

Generate creative metaphors to explain or describe any concept.

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

Low RISK CLASS

Category Read

Parameters 00 required

Recommended Allowedsee the rule below

Registry record Grade F, identity unverified Pull the record →

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

WHAT IT DOES

What create_metaphor does on GadgetHumans API Hub

AI agents call create_metaphor to retrieve information from GadgetHumans API Hub without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

RISK

Why create_metaphor is rated Low

This tool generates text content (metaphors) based on a given concept. It is purely a read/retrieval operation — it produces output without creating, modifying, or deleting any data, executing code, or involving financial transactions. The blast radius if misused is low, as it only produces descriptive language.

From the tool's definition Generate creative metaphors to explain or describe any concept

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs create_metaphor 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 create_metaphor, this is the rule to start with:

create_metaphor Allowed

create_metaphor is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "create_metaphor": {}
  }
}

ALLOW ONLY 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 create_metaphor call is checked against it from then on.

FAQ

Questions about create_metaphor

What does the create_metaphor tool do? +

Generate creative metaphors to explain or describe any concept. It is categorised as a Read tool in the GadgetHumans API Hub MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on create_metaphor? +

Register the GadgetHumans API Hub MCP server in PolicyLayer and add a rule for create_metaphor: 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 create_metaphor? +

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

Can I rate-limit create_metaphor? +

Yes. Add a rate_limit block to the create_metaphor 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 create_metaphor completely? +

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

create_metaphor 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.

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