doctor_environment
Run environment doctor: dependencies, bridges, platform limits.
This record as markdown: /tools/io-github-vmoranv-jshookmcp/doctor-environment.md
What doctor_environment does on Jshookmcp
AI agents invoke doctor_environment 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 doctor_environment is rated High
Executes diagnostic operations on the environment with potential side effects depending on implementation details.
From the tool's definition Run environment doctor: dependencies, bridges, platform limits.
Attacks that exploit this kind of access
The rule that runs doctor_environment safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Jshookmcp, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For doctor_environment, this is the rule to start with:
doctor_environment 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 Jshookmcp, apply this rule, and every doctor_environment call is checked against it from then on.
Questions about doctor_environment
Run environment doctor: dependencies, bridges, platform limits. 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.
Register the Jshook MCP server in PolicyLayer and add a rule for doctor_environment: 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.
doctor_environment 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 doctor_environment 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 doctor_environment. 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.
doctor_environment 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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