extract_html_table

Extract HTML tables into structured JSON array.

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/extract-html-table.md

WHAT IT DOES

What extract_html_table does on GadgetHumans API Hub

AI agents call extract_html_table 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 extract_html_table is rated Low

The tool retrieves and converts data from HTML into JSON format. No data is created, modified, deleted, or irreversibly altered. No external operations, code execution, or financial transactions occur. This is a straightforward read/parse operation typical of utility APIs for data transformation.

From the tool's definition Tool description states 'Extract HTML tables into structured JSON array' — this is a data retrieval and transformation operation with no side effects. The action is to parse and structure existing HTML content, not modify, delete, or execute operations.

Attacks that exploit this kind of access

RECOMMENDED RULE

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

extract_html_table Allowed

extract_html_table 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": {
    "extract_html_table": {}
  }
}

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 extract_html_table call is checked against it from then on.

FAQ

Questions about extract_html_table

What does the extract_html_table tool do? +

Extract HTML tables into structured JSON array. 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 extract_html_table? +

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

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

Can I rate-limit extract_html_table? +

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

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

extract_html_table 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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