line_count

Count total lines, non-empty lines, and blank lines in text.

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/line-count.md

WHAT IT DOES

What line_count does on GadgetHumans API Hub

AI agents call line_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 line_count is rated Low

This is a straightforward data retrieval and analysis tool. It takes text as input and returns statistical counts without altering the data, triggering external operations, or affecting system state. The blast radius of misuse is minimal; an agent cannot cause harm by counting lines in text. Classified as Read with low severity.

From the tool's definition The tool 'line_count' performs a counting/analysis operation on text input. The description states it 'Count[s] total lines, non-empty lines, and blank lines in text' — purely observational with no modification, deletion, execution, or side effects.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs line_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 line_count, this is the rule to start with:

line_count Allowed

line_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": {
    "line_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 line_count call is checked against it from then on.

FAQ

Questions about line_count

What does the line_count tool do? +

Count total lines, non-empty lines, and blank lines in text. 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 line_count? +

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

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

Can I rate-limit line_count? +

Yes. Add a rate_limit block to the line_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 line_count completely? +

Set action: deny in the PolicyLayer policy for line_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 line_count? +

line_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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