word_count
Count words, characters, sentences, paragraphs, and average word length.
This record as markdown: /tools/io-github-scotia1973-bot-api-hub/word-count.md
What word_count does on GadgetHumans API Hub
AI agents call word_count 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 word_count is rated Low
This is a pure data retrieval and analysis tool. It takes text as input and returns statistical metrics (word count, character count, sentence count, paragraph count, word length average). There are no side effects, no code execution, no data modification, and no destructive operations. The minimal blast radius if misused by an agent is negligible—at worst, it wastes computational resources on large texts.
From the tool's definition The tool 'word_count' performs text analysis functions: 'Count words, characters, sentences, paragraphs, and average word length.' These are all read-only, query-based operations that retrieve metrics from input text without modifying, executing, or affecting…
Attacks that exploit this kind of access
The rule that runs word_count 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 word_count, this is the rule to start with:
word_count 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 word_count call is checked against it from then on.
Questions about word_count
Count words, characters, sentences, paragraphs, and average word length. 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 word_count: 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.
word_count 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 word_count 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 word_count. 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.
word_count 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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