paragraph_count

Count paragraphs and analyze paragraph structure.

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/paragraph-count.md

WHAT IT DOES

What paragraph_count does on GadgetHumans API Hub

AI agents call paragraph_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.

RISK

Why paragraph_count is rated Low

This is a pure analysis tool that reads and counts text structures. It retrieves information about paragraph organization without creating, modifying, deleting, or executing any operations. The analysis is non-destructive and produces informational output only. Confidence is high given the clear, descriptive tool name and function.

From the tool's definition Tool name 'paragraph_count' and description 'Count paragraphs and analyze paragraph structure' indicate data retrieval and analysis operations with no modification, deletion, or execution of external processes.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs paragraph_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 paragraph_count, this is the rule to start with:

paragraph_count Allowed

paragraph_count is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "paragraph_count": {}
  }
}

ALLOW ONLY THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect GadgetHumans API Hub, apply this rule, and every paragraph_count call is checked against it from then on.

FAQ

Questions about paragraph_count

What does the paragraph_count tool do? +

Count paragraphs and analyze paragraph structure. 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 paragraph_count? +

Register the GadgetHumans API Hub MCP server in PolicyLayer and add a rule for paragraph_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.

What risk level is paragraph_count? +

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

Can I rate-limit paragraph_count? +

Yes. Add a rate_limit block to the paragraph_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.

How do I block paragraph_count completely? +

Set action: deny in the PolicyLayer policy for paragraph_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.

What MCP server provides paragraph_count? +

paragraph_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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