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andrewbartels1

SolidworksMCP-python

analyze_drawing_dimensions

Check SolidWorks drawing dimensions for precision consistency, tolerance formatting, and completeness. Identify missing or inconsistent dimensions.

Instructions

Analyze dimensions in a SolidWorks drawing for consistency and completeness.

This tool performs detailed dimensional analysis including precision, tolerances, and completeness checking.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
input_dataYesThe input data value.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

With no annotations, the description must disclose behavioral traits. It indicates the tool performs analysis (likely read-only) but does not explicitly state whether it modifies anything, requires an open drawing, or has side effects.

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 two sentences, front-loaded with the core action, and every word adds value. No redundancy or filler.

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

Completeness3/5

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

Given the presence of an output schema, the description does not need to explain return values. However, it omits prerequisites (e.g., drawing must be open) and does not indicate if the tool is safe/read-only, which is important for a file-based tool with no annotations.

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?

The input schema has 100% description coverage, with each parameter already well-documented (e.g., check_precision: 'Check dimension precision consistency'). The description adds no further semantic value beyond restating the same concepts.

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 specifies the action ('Analyze dimensions') and resource ('SolidWorks drawing'), and mentions the scope ('consistency and completeness'). However, it does not explicitly distinguish this from sibling tools like 'analyze_drawing_comprehensive' or 'analyze_drawing_annotations', which may overlap.

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 (e.g., broader analysis tools). The description implies it is for dimensional analysis but does not give exclusions or prerequisites.

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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