check_page_size
Check the size and load time of a web page.
This record as markdown: /tools/io-github-scotia1973-bot-api-hub/check-page-size.md
What check_page_size does on GadgetHumans API Hub
AI agents call check_page_size 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.
Why check_page_size is rated Low
This tool queries external web resources and returns performance metrics without modifying, executing, or deleting anything. It is a passive measurement tool analogous to 'fetch' or 'get' operations. The low severity reflects minimal blast radius: worst case, an agent could enumerate many URLs, but no data is modified, deleted, or financial transactions occur.
From the tool's definition Tool description states it 'Check[s] the size and load time of a web page' — purely informational retrieval with no side effects. The verb 'check' and the data retrieved (size metrics, load times) are read-only observations.
Attacks that exploit this kind of access
The rule that runs check_page_size 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 check_page_size, this is the rule to start with:
check_page_size is read-only, so it stays allowed. 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 check_page_size call is checked against it from then on.
Questions about check_page_size
Check the size and load time of a web page. It is categorised as a Read tool in the GadgetHumans API Hub MCP Server, which means it retrieves data without modifying state.
Register the GadgetHumans API Hub MCP server in PolicyLayer and add a rule for check_page_size: 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.
check_page_size is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the check_page_size 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 check_page_size. 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.
check_page_size 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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