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Fusion360 MCP Server

Fusion360 MCP Server

by forgemorrow
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

Add Joint

add_joint

Create a joint between two components in Fusion 360, specifying the joint type such as rigid, revolute, or slider.

Instructions

Add a joint between two components

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": {
      "component_one": "<component_one>",
      "component_two": "<component_two>"
    },
    "name": "add_joint"
  }
}

Input Schema

NameRequiredDescriptionDefault
joint_typeNorigid
component_oneYes
component_twoYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3/5.0
Behavior3/5

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

Annotations indicate this is a non-read-only, non-idempotent, non-destructive operation, which the description doesn't contradict. The description adds minimal behavioral context beyond annotations—it implies creation but doesn't detail effects like persistence, error conditions, or dependencies. With annotations covering safety, a 3 reflects some added value but limited depth.

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?

The description is a single, efficient sentence with no wasted words, front-loading the core action. It's appropriately sized for the tool's complexity, making it easy to parse quickly.

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?

Given the tool's moderate complexity (3 parameters, no output schema), the description is incomplete. It lacks usage guidelines, detailed parameter explanations, and behavioral insights like how joints interact with components or what happens on failure. Annotations help but don't fully compensate, leaving gaps for an agent to operate effectively.

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 0%, so the description must compensate for undocumented parameters. It mentions 'two components' and 'joint', hinting at 'component_one' and 'component_two', but doesn't explain their format or the 'joint_type' enum meanings. This adds minimal semantics beyond the bare schema, failing to address the coverage gap adequately.

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?

The description clearly states the action ('Add') and resource ('a joint between two components'), making the purpose evident. However, it doesn't differentiate from sibling tools like 'add_constraint' or 'create_as_built_joint', which might have overlapping functionality in a CAD/mechanical context.

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus alternatives. With many sibling tools (e.g., 'add_constraint', 'create_as_built_joint'), the description lacks context about prerequisites, typical scenarios, or exclusions, leaving the agent to infer usage.

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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