extract_entities

Extract named entities (people, places, orgs, dates) from text.

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/extract-entities.md

What extract_entities does on GadgetHumans API Hub

AI agents call extract_entities 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.

Why extract_entities is rated Low

This tool only reads and parses input text to identify and return structured entity data. It has no side effects, does not modify data, execute code, delete anything, or involve financial operations. The output is purely informational analysis. Misuse by an AI agent would be limited to extracting entities from sensitive text, but the tool itself cannot cause irreversible damage or access restricted systems.

From the tool's definition Tool performs text analysis to 'extract named entities (people, places, orgs, dates) from text' — a retrieval and classification operation with no modification, deletion, or execution of external systems.

Questions about extract_entities

What does the extract_entities tool do? +

Extract named entities (people, places, orgs, dates) from text. 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 extract_entities? +

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

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

Can I rate-limit extract_entities? +

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

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

extract_entities 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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