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Check the setup

cm_doctor
Read-only

Validate CarMaker setup including Python, MATLAB, shared session, GUI, and project folder; receive fixes for any failed checks.

Instructions

Check the setup: CarMaker install, Python version, MATLAB release and engine, shared MATLAB session, GUI, project folder. Each failed check comes with its fix.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.8/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already establish readOnlyHint=true and openWorldHint=false, so the safety profile is covered. The description adds useful behavioral context beyond that: it names exactly what gets inspected and states that failed checks are accompanied by remediation, which tells the agent the output is actionable diagnostics.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences, front-loaded with the purpose before the enumeration, and the fix note last. The check list is dense but each item earns its place by telling the agent the diagnostic scope. Minimal waste.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a parameterless diagnostic tool with rich annotations and an output schema, the description covers what an agent needs: scope of checks and the actionable nature of failures. Return formatting is handled by the output schema, so nothing essential is missing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool takes zero parameters, which is the baseline-4 case. The description correctly does not invent or discuss parameters, and with 100% schema coverage there is nothing further the schema leaves ambiguous.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a concrete verb+resource ('Check the setup') and then enumerates the specific items checked (CarMaker install, Python version, MATLAB release/engine, shared session, GUI, project folder). This is far more specific than a tautology and lets an agent know it's a diagnostic tool. It stops short of naming a sibling it is distinct from, which would push it to a 5.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is implied rather than stated: a 'doctor' tool is understood to be run when troubleshooting setup/environment problems, and 'each failed check comes with its fix' hints at the diagnostic workflow. However, there is no explicit when-to-use guidance or reference to alternatives among the many cm_* tools, so it remains implied.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.