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analyze_mesh_quality

Analyze a mesh object for topological defects including non-manifold edges, loose vertices, zero-area faces, duplicates, and wire edges. Returns defect counts and sample indices.

Instructions

Analyze mesh topology quality and return a structured defect report.

Checks for non-manifold edges, loose vertices, zero-area faces, duplicate vertices, and wire edges. Returns counts and sample indices (capped at 50 per category) for each defect type.

Args: object_name: Name of the mesh object to analyze.

Returns: Dict with vertex/edge/face counts, defect counts and sample indices, and an issues_found boolean.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
object_nameYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

With no annotations, the description fully bears the burden. It lists the checks performed and mentions return details (counts, sample indices capped at 50). It does not explicitly state it is read-only or describe side effects, but the analysis nature is clear.

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?

The description is well-structured with an intro, list of checks, return info, and Args. It is concise but could be slightly more streamlined without losing clarity.

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?

Given the tool's simplicity (one parameter, output schema exists), the description adequately covers what it does and returns. It does not mention error conditions or performance, but overall is complete for this tool.

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

Parameters5/5

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

The only parameter, object_name, is explained in the Args section as 'Name of the mesh object to analyze.' This adds clear meaning beyond the schema's title and type, compensating for 0% schema description coverage.

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?

The description clearly states it analyzes mesh topology quality and returns a structured defect report, listing specific defect types (non-manifold edges, loose vertices, etc.). This is specific and distinguishes it from sibling tools.

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 description implies usage for mesh quality checking but does not explicitly state when to use this tool versus alternatives or provide any exclusions. No alternatives are mentioned.

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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