compare_hashes

Compare two hash values and return whether they match.

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/compare-hashes.md

WHAT IT DOES

What compare_hashes does on GadgetHumans API Hub

AI agents call compare_hashes 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 compare_hashes is rated Low

This tool performs a deterministic comparison of two hash values and returns a boolean result. It has no side effects, does not modify data, does not execute code, and does not move resources. It is a pure read/query operation that fits the Read category. The severity is low because misuse (e.g., comparing incorrect hashes) causes no harm or resource damage.

From the tool's definition Tool description states 'Compare two hash values and return whether they match' — a comparison operation that queries/retrieves the result of matching two inputs without modifying, deleting, or executing external code.

Attacks that exploit this kind of access

RECOMMENDED RULE

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

compare_hashes Allowed

compare_hashes 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": {
    "compare_hashes": {}
  }
}

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 compare_hashes call is checked against it from then on.

FAQ

Questions about compare_hashes

What does the compare_hashes tool do? +

Compare two hash values and return whether they match. 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 compare_hashes? +

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

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

Can I rate-limit compare_hashes? +

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

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

compare_hashes 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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