normalize_text

Normalize Unicode text to NFC, NFD, NFKC, or NFKD form.

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/normalize-text.md

What normalize_text does on GadgetHumans API Hub

AI agents call normalize_text 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 normalize_text is rated Low

Unicode normalization is a pure computational function that converts text between different Unicode normal forms. It does not create, modify, delete, or execute anything; it only reads and transforms the input according to a mathematical algorithm. This is a read-only utility operation with no persistence or external effects, making it the lowest-risk category.

From the tool's definition Tool name 'normalize_text' and description indicate it performs Unicode normalization ('Normalize Unicode text to NFC, NFD, NFKC, or NFKD form'), which is a text transformation that reads input and returns transformed output without side effects, data…

Questions about normalize_text

What does the normalize_text tool do? +

Normalize Unicode text to NFC, NFD, NFKC, or NFKD form. 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 normalize_text? +

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

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

Can I rate-limit normalize_text? +

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

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

normalize_text 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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