json_path_query

Query a JSON object using dot-notation path traversal.

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/json-path-query.md

WHAT IT DOES

What json_path_query does on GadgetHumans API Hub

AI agents call json_path_query 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 json_path_query is rated Low

The tool performs read-only data retrieval from JSON structures using path traversal syntax. There are no side effects, no code execution, no data modification, and no destructive operations. The worst-case misuse would be information disclosure of JSON data already accessible to the agent, which constitutes a low-severity risk.

From the tool's definition Tool description states 'Query a JSON object using dot-notation path traversal' — this is a retrieval operation with no modification or execution capabilities.

Attacks that exploit this kind of access

RECOMMENDED RULE

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

json_path_query Allowed

json_path_query 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": {
    "json_path_query": {}
  }
}

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 json_path_query call is checked against it from then on.

FAQ

Questions about json_path_query

What does the json_path_query tool do? +

Query a JSON object using dot-notation path traversal. 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 json_path_query? +

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

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

Can I rate-limit json_path_query? +

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

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

json_path_query 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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