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api_probe_batch

Batch-probe API endpoints in browser context with auto token injection and HTML skip.

SERVERJshookmcp SOURCE@jshookmcp/jshook
High RISK CLASS
Category Execute
Parameters 00 required
Recommended Rate-limitedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-vmoranv-jshookmcp/api-probe-batch.md

What api_probe_batch does on Jshookmcp

AI agents invoke api_probe_batch to trigger actions in Jshookmcp. 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 api_probe_batch is rated High

Executes multiple API requests in browser context with automatic authentication injection.

From the tool's definition Batch-probe API endpoints in browser context with auto token injection

Questions about api_probe_batch

What does the api_probe_batch tool do? +

Batch-probe API endpoints in browser context with auto token injection and HTML skip. It is categorised as a Execute tool in the Jshookmcp MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on api_probe_batch? +

Register the Jshook MCP server in PolicyLayer and add a rule for api_probe_batch: 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 Jshookmcp. Nothing to install.

What risk level is api_probe_batch? +

api_probe_batch is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit api_probe_batch? +

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

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

api_probe_batch is provided by the Jshook MCP server (@jshookmcp/jshook). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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