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SolidWorks MCP PRO

SolidWorks MCP PRO

by U-C4N

set_equation

Destructive

Sets an equation in SOLIDWORKS through the native engine, returning verified measurements and error evidence for validation.

Instructions

Set equation through the independent native SOLIDWORKS engine. Public geometry units are mm, degrees and kg. Inspect verified measurements and error evidence.

Input Schema

NameRequiredDescriptionDefault
equationYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.7.0

TDQS

C2.6/5.0
Behavior3/5

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

Annotations already declare destructiveHint=true, idempotentHint=false and openWorldHint=false, so the safety profile is known. The description adds two real facts beyond that: quantities are interpreted in mm/degrees/kg, and results include verification measurements and error evidence. It still never states what a set operation overwrites (e.g. existing equations) or what happens on a syntax error, which matters for a destructive mutation.

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

Conciseness3/5

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

Three short sentences with no padding, but the opening phrase "through the independent native SOLIDWORKS engine" spends words on vague framing rather than actionable detail. The final sentence about inspecting evidence is also ambiguous about whether it describes a return value or an instruction to the agent.

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?

This is a destructive mutation with a single undocumented free-text parameter and no output schema, so the description must define the equation format and effects. It instead covers units and verification while omitting the core input contract and overwrite semantics, leaving key gaps for an agent to guess at.

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?

The single parameter is a bare string with 0% schema description coverage, and the description adds nothing about required equation syntax, quoting of variable names, or examples. With one opaque required parameter, the description needed to carry the full burden here and does not.

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

Purpose3/5

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

"Set equation" gives a verb and a resource, but it essentially restates the tool name and never clarifies scope. Siblings include set_equations (plural), list_equations and delete_equation, yet the description does not say whether this sets one equation or many, leaving the single-vs-batch distinction to inference.

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?

There is no when-to-use guidance, no exclusions, and no pointer to alternatives such as set_equations or list_equations. The agent must guess when this singular form is preferable to the plural sibling.

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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