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nashirabbash

CoppeliaSim MCP Server

by nashirabbash

coppelia_experiments

Runs up to 20 simulation episodes in a specified scene with per-episode reload, collecting joint positions, sensor data, diagnostics, and success results under a 10,000-step cap.

Instructions

Run up to 20 simulation episodes in an explicit scene with per-episode scene reload, joint positions, diagnostics, and success conditions; combined steps are capped at 10000.

Input Schema

NameRequiredDescriptionDefault
observeNo
sensorsNo
episodesYes
headlessNo
sample_everyNo
initial_sceneYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv1.0.1

TDQS

B3.1/5.0
Behavior3/5

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

With no annotations, the description carries the full burden and does disclose real behavioral facts: episode cap of 20, per-episode scene reload, combined step cap of 10000, and that joint positions/diagnostics/success conditions are produced. It omits blocking behavior, what happens to simulator state, and error handling on episode failure.

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?

A single dense sentence that front-loads the action and the two hard caps. Nothing is wasted, though the semicolon-clause packing makes it read like a feature list rather than prioritized guidance.

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

Completeness2/5

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

For a 6-parameter tool with a required array-of-objects 'episodes' argument, no output schema, and no annotations, the description is far too thin. An agent cannot construct a valid episode entry or know what sample_every/headless/sensors do from this text alone.

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 coverage is 0% across 6 parameters, so the description must explain them and largely does not. It hints at initial_scene ('explicit scene') and episodes, and loosely at observe ('joint positions, diagnostics'), but headless, sample_every, sensors, and the structure of each episode object are entirely undocumented.

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 ('Run ... simulation episodes') plus concrete scope limits (up to 20 episodes, explicit scene, 10000 combined steps). It implicitly separates itself from single-step siblings like coppelia_step/coppelia_simulate by being a batch-episode runner, but never names them.

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?

The word 'experiments' and the 20-episode/10000-step caps imply this is for multi-episode batch evaluation rather than single stepping, but there is no explicit 'use this instead of coppelia_simulate when...' guidance or prerequisite statement.

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