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carmaker-mcp

carmaker-mcp

by dimitr-io
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Python
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Load a test run

cm_load_testrun

Load a test run into the CarMaker GUI for execution; requires an idle simulation. Use force to discard unsaved data, or cm_list('testrun') to find names.

Instructions

Load a test run into the CarMaker GUI. Requires an idle simulation. Find names with cm_list('testrun').

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "name": "<name>"
    },
    "name": "cm_load_testrun"
  }
}

Input Schema

NameRequiredDescriptionDefault
nameYesTest run relative to Data/TestRun, e.g. 'Examples/BasicFunctions/Driver/BackAndForth'
forceNoDo not let the GUI ask about unsaved data; that data is discarded

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4/5.0
Behavior4/5

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

Annotations cover the safety profile (readOnly=false, destructive=false, openWorld=false). The description adds a behavioral precondition the annotations don't carry: the simulation must be idle. It doesn't restate the force-discard behavior, but that is already documented in the schema.

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

Conciseness5/5

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

Three short sentences, front-loaded with the action, then the precondition, then the name-discovery hint. Every sentence earns its place with no redundancy.

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?

An output schema exists, so return values need not be explained. The description supplies the key precondition and a discovery path, leaving only minor details like failure behavior when the simulation is busy unstated.

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

Parameters3/5

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

Schema description coverage is 100%, so both 'name' (with a path example) and 'force' (with discard semantics) are already documented. The description only hints at name discovery via cm_list and adds no syntax beyond the schema, so the baseline 3 applies.

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 specific verb and resource: 'Load a test run into the CarMaker GUI.' Combined with the title, an agent can distinguish this from siblings like cm_list or cm_read, which read rather than load.

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

Usage Guidelines4/5

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

Gives a concrete precondition ('Requires an idle simulation') and routes the agent to cm_list('testrun') to discover valid names. It stops short of stating what to do when the simulation is not idle, but the primary when-to-use context is present.

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

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