ThrustLab

Simulate a powertrain

simulate_powertrain

Solve one operating point of a whole powertrain on the Fast model.

Battery, ESC, motor and propeller are solved together, so the answer is a
real thrust and current, not a propeller curve. The numbers come back in
`result` (`result.All` = system totals in SI units: thrust N, current A,
power W, time s; one entry per rotor; `result.Battery`), with a share URL.
No second call is needed to read them.

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": {
      "powertrain": "<powertrain>"
    },
    "name": "simulate_powertrain"
  }
}

Input Schema

Name	Required	Description	Default
`powertrain`	Yes

Output Schema

Name	Required	Description	Default
No arguments

Schema Changelog

Changes observed during successful MCP inspections.

First observedOct 2, 2026

TDQS

A4/5.0

Behavior4/5

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

Annotations already declare the safety profile (readOnly false, destructive false, non-idempotent), so the bar is lower. The description adds real behavioral context: the battery/ESC/motor/propeller are solved together so the output is a coupled thrust and current rather than a propeller curve, and a share URL is produced, which is consistent with the non-read-only, non-idempotent hints.

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?

Purpose is front-loaded in the first sentence, and the two paragraphs stay tight with no filler. The parenthetical unit dump is dense but earns its place by defining the output fields.

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?

With an output schema present the description need not explain returns, yet it sensibly names result.All and result.Battery and their units. Given a single nested input parameter it is close to complete, though it omits any guidance on the catalog-id vs label input paths that materially change a call.

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

Parameters2/5

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

Schema description coverage is reported as 0%, so the description must carry input meaning, yet it says nothing about motor_id, battery_id, throttle, altitude, or the propeller_id vs propeller_label choice. It only characterizes the return payload, leaving the only input ('powertrain') semantically unexplained in the description.

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

Purpose5/5

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

States a specific verb (solve) and resource (one operating point of a whole powertrain) on a named model, and the single-operating-point scope implicitly contrasts with the sweep sibling. An agent can tell what it computes without opening the schema.

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 clear context ('solve one operating point', 'Fast model') and explicitly forecloses a follow-up read call ('No second call is needed to read them'), which routes away from get_result. It never names sweep_powertrain or the catalog-vs-label input choice as an alternative, so it stops short of explicit when/when-not routing.

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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