pangram_check

Check if text is a pangram (contains every letter of alphabet).

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/pangram-check.md

What pangram_check does on GadgetHumans API Hub

AI agents call pangram_check 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 pangram_check is rated Low

This is a simple utility function that analyzes text to determine if it contains all 26 letters of the alphabet. It retrieves/queries a property of the input data and returns a result with no side effects, data modification, or external execution. This clearly fits the Read category.

From the tool's definition The tool 'pangram_check' with description 'Check if text is a pangram (contains every letter of alphabet)' performs a read-only text analysis operation that retrieves or queries information about the input without modifying, executing external operations, or…

Risk signalsBulk/mass operation — affects multiple targets

Questions about pangram_check

What does the pangram_check tool do? +

Check if text is a pangram (contains every letter of alphabet). 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 pangram_check? +

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

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

Can I rate-limit pangram_check? +

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

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

pangram_check 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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