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andyluu98
by andyluu98

doc_mat_bang_dxf

Read DXF floor plans and extract wall and column lists by layer, region, and scale to verify data before building 3D models in Blender.

Instructions

Doc mat bang DXF va tra ve danh sach tuong, cot, chua dung gi trong Blender.

Dung tool nay de kiem tra du lieu doc ra co dung khong truoc khi dung. vung: [x0, y0, x1, y1] theo don vi ban ve, de lay rieng mot mat bang khi ho so xep nhieu mat bang canh nhau. ty_le: 0.001 cho ban ve milimet, 1.0 cho ban ve met.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
gocNo
vungNo
ty_leNo
duong_danYes
layer_cotNo
layer_tuongNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.6/5.0
Behavior3/5

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

With no annotations, the description carries the full burden. It does disclose the important behavioral trait that nothing is created in Blender (non-destructive read) and that it returns lists of walls/columns, plus coordinate-unit semantics. However it omits return structure, error behavior for malformed DXF, and how layer_cot/layer_tuong affect results.

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?

Purpose is front-loaded in the first line, followed by a usage note and only the two parameters worth explaining. The short list format is easy to scan and no sentence is wasted, though a heading or tighter grouping could improve it slightly.

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?

For a 6-parameter, no-annotation, no-output-schema tool, the description is adequate but not complete: it never explains the shape of the returned wall/column data an agent must interpret, and four parameters are left to inference. The unit-scaling and region guidance are the strongest parts.

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?

Schema coverage is 0%, so the description must compensate. It does a good job on 'vung' (explicit [x0, y0, x1, y1] format and the multi-floor-plan use case) and 'ty_le' (0.001 mm vs 1.0 m), but leaves 'goc', 'duong_dan', 'layer_cot' and 'layer_tuong' undocumented beyond their self-explanatory names.

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?

States a specific verb and resource: reads a floor-plan DXF and returns the list of walls and columns ('danh sach tuong, cot'), explicitly noting it builds nothing in Blender ('chua dung gi trong Blender'). This implicitly separates it from siblings like dung_nha_tu_dxf and dung_tuong, though it never names an alternative, so it falls short of a 5.

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?

'Dung tool nay de kiem tra du lieu doc ra co dung khong truoc khi dung' gives a clear when-to-use: a dry-run/inspection step before committing to geometry construction. There are no explicit exclusions or named alternatives, but the context of use is unambiguous.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.