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yufeioptimal

cloudcompare-mcp

by yufeioptimal

convert_format

Convert point cloud or mesh files between formats like LAS, LAZ, PLY, PCD, XYZ, ASC, E57, and OBJ by specifying input and output file paths. The target format is inferred from the output file extension.

Instructions

Convert a point cloud or mesh file to a different format. CloudCompare infers the target format from the output file extension (e.g. .las, .laz, .ply, .pcd, .xyz, .asc, .e57, .obj).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
input_pathYesAbsolute path to the input file.
output_pathYesAbsolute path for the output file (extension defines format).
Behavior3/5

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

With no annotations, the description provides one key behavioral detail (format inference from extension) but omits other important behaviors like file overwrite policy or input preservation. This leaves gaps.

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?

Two concise sentences with no wasted words. The key information is front-loaded.

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 low complexity (two params, no output schema), the description covers essential aspects. Minor omissions like error handling do not significantly impair completeness.

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

Parameters4/5

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

Schema coverage is 100% with clear param descriptions. The description adds value by explaining format inference and listing examples, which is beyond the schema.

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 the tool converts point cloud or mesh files to different formats, with specific examples. It is distinct from sibling tools which perform different operations like distance computation or filtering.

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

Usage Guidelines4/5

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

The description implicitly indicates when to use (format conversion needed) but lacks explicit exclusions or alternatives. However, the narrow purpose makes the usage context clear.

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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