pangram_check
Check if text is a pangram (contains every letter of alphabet).
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
Attacks that exploit this kind of access
The rule that runs pangram_check 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 pangram_check, this is the rule to start with:
pangram_check is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect GadgetHumans API Hub, apply this rule, and every pangram_check call is checked against it from then on.
Questions about pangram_check
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.
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.
pangram_check is a Read tool with low risk. Read-only tools are generally safe to allow by default.
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.
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.
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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