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randomize_transform

Randomize location, rotation, and scale of objects within set ranges. Use a seed to reproduce the same randomized transform.

Instructions

随机化变换,各参数为 ± 范围;同 seed 结果可复现。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
seedNo
scaleNo
objectsYes
locationNo
rotationNo
uniform_scaleNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3/5.0
Behavior2/5

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 that parameters are ± ranges and that the same seed reproduces results, which is useful for a stochastic operation. But it does not state whether existing transforms are overwritten or offset, whether the operation mutates objects, or what other side effects may occur.

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 a single short sentence with no filler. Every part contributes meaning: randomization, ± range semantics, and seed reproducibility. It is well front-loaded for quick scanning.

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 tool has 6 parameters, no annotations, and no output schema, yet the description covers only the randomization concept and reproducibility. It omits essential details like how range arrays are interpreted, how objects can be specified, whether uniform_scale affects range behavior, and what the result of the operation is. An agent would struggle to call it correctly without more information.

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?

Schema description coverage is 0%, so the description must compensate. It gives only a generic 'each parameter is ± range' hint and mentions seed reproducibility, but it does not explain how scale, location, rotation, uniform_scale, objects, or seed actually behave. The schema's anyOf formats are left completely unexplained.

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 states a specific verb ('randomize') and resource ('transform'), and the '± range' phrase clarifies the nature of the operation. It distinguishes itself from deterministic siblings like set_transform and batch_transform by implying random offsets, though it doesn't explicitly name an alternative.

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 this tool is for randomizing transforms with reproducible seeds, which gives a basic usage context. However, it does not explicitly state when to prefer it over alternatives like set_transform, batch_transform, or apply_transforms, and there is no when-not-to-use guidance.

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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