web_scrape
A execute tool on the GadgetHumans API Hub MCP server.
This record as markdown: /tools/io-github-scotia1973-bot-api-hub/web-scrape.md
What web_scrape does on GadgetHumans API Hub
AI agents invoke web_scrape to trigger actions in GadgetHumans API Hub. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.
Why web_scrape is rated High
Web scraping involves making external HTTP requests to arbitrary URLs and executing content retrieval/parsing logic, which qualifies as Execute. However, the empty description significantly lowers confidence. Given the server context (utility APIs), this could be a simple read tool, but web scraping can have meaningful side effects (triggering server-side analytics, hitting rate limits, accessing sensitive pages).
From the tool's definition Tool name 'web_scrape' implies fetching and processing external web content; description is empty and uninformative.
Attacks that exploit this kind of access
The rule that runs web_scrape 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 web_scrape, this is the rule to start with:
web_scrape stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect GadgetHumans API Hub, apply this rule, and every web_scrape call is checked against it from then on.
Questions about web_scrape
web_scrape is a execute tool on the GadgetHumans API Hub MCP server. It is categorised as a Execute tool in the GadgetHumans API Hub MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the GadgetHumans API Hub MCP server in PolicyLayer and add a rule for web_scrape: 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.
web_scrape is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the web_scrape 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.
Set action: deny in the PolicyLayer policy for web_scrape. 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.
web_scrape 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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