char_count

Count characters including/excluding spaces and non-printable chars.

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/char-count.md

WHAT IT DOES

What char_count does on GadgetHumans API Hub

AI agents call char_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 char_count is rated Low

This tool performs a straightforward read-only analysis of text data. It returns counts of characters under different criteria (with/without spaces, non-printable chars) but does not modify, execute code, delete data, or create financial obligations. Even if an AI agent misuses it by counting malicious input, the operation itself is benign and produces only informational output.

From the tool's definition Tool name 'char_count' and description state it 'Count characters' with various filtering options. This is a query/analysis operation with no side effects—it only retrieves statistics about input text.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs char_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 char_count, this is the rule to start with:

char_count Allowed

char_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": {
    "char_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 char_count call is checked against it from then on.

FAQ

Questions about char_count

What does the char_count tool do? +

Count characters including/excluding spaces and non-printable chars. 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 char_count? +

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

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

Can I rate-limit char_count? +

Yes. Add a rate_limit block to the char_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 char_count completely? +

Set action: deny in the PolicyLayer policy for char_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 char_count? +

char_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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