Low Risk

fleet_testflight_doctor

Check TestFlight publishing readiness for an app: GitHub CLI availability, the

How to control fleet_testflight_doctor ↓

What fleet_testflight_doctor does on Fleet

AI agents call fleet_testflight_doctor to retrieve information from Fleet without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

Why fleet_testflight_doctor needs a policy

This tool performs health checks and readiness diagnostics for TestFlight publishing, examining system state (GitHub CLI availability, configuration status) without modifying or executing deployments. It gathers information to determine if prerequisites are met. No data is created, modified, deleted, or execution is triggered—only system state is queried.

From the tool's definition Tool name 'fleet_testflight_doctor' and description indicate it 'Check[s] TestFlight publishing readiness' by examining conditions like 'GitHub CLI availability'.

Documented attack patterns abuse exactly the kind of access fleet_testflight_doctor gives an agent:

How to control fleet_testflight_doctor

PolicyLayer is an MCP gateway — it sits between your AI agents and Fleet, and nothing reaches the server without passing your rules. This is the rule we recommend for fleet_testflight_doctor:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "fleet_testflight_doctor": {}
  }
}

fleet_testflight_doctor is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Fleet — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Related tools and policies

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Questions about fleet_testflight_doctor

What does the fleet_testflight_doctor tool do? +

Check TestFlight publishing readiness for an app: GitHub CLI availability, the. It is categorised as a Read tool in the Fleet MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on fleet_testflight_doctor? +

Register the Fleet MCP server in PolicyLayer and add a rule for fleet_testflight_doctor: 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 Fleet. Nothing to install.

What risk level is fleet_testflight_doctor? +

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

Can I rate-limit fleet_testflight_doctor? +

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

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

fleet_testflight_doctor is provided by the Fleet MCP server (wrxck/fleet). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Fleet tool call.

Start from Fleet, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

Free to start. No card required.

39 Fleet tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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