readability_analyze

A read tool on the GadgetHumans API Hub MCP server.

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/readability-analyze.md

WHAT IT DOES

What readability_analyze does on GadgetHumans API Hub

AI agents call readability_analyze 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 readability_analyze is rated Low

Based on naming convention and server context (utility APIs for QR, hashing, conversion, analysis), this tool performs text analysis which is a read-only operation. No side effects, data modification, code execution, or irreversible actions are indicated.

From the tool's definition Tool name 'readability_analyze' suggests analysis/measurement of text properties with no modification capability. Empty description limits certainty but context indicates utility API focused on read-only operations.

Attacks that exploit this kind of access

RECOMMENDED RULE

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

readability_analyze Allowed

readability_analyze 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": {
    "readability_analyze": {}
  }
}

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 readability_analyze call is checked against it from then on.

FAQ

Questions about readability_analyze

What does the readability_analyze tool do? +

readability_analyze is a read tool on the GadgetHumans API Hub MCP server. 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 readability_analyze? +

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

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

Can I rate-limit readability_analyze? +

Yes. Add a rate_limit block to the readability_analyze 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 readability_analyze completely? +

Set action: deny in the PolicyLayer policy for readability_analyze. 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 readability_analyze? +

readability_analyze 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.

KEEP EXPLORING

More on GadgetHumans API Hub, and thousands of servers like it.

This server

All 311 GadgetHumans API Hub tools →

Across the catalogue

analyze_devtools_anomalies on Percepta MCP Server → The MCP Attack Database →

Guides

Roll out MCP under one policy →Data exfiltration →MCP token cost →