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make_biped_sample

Generate a procedural chibi biped adventurer with side-view layers matching BIPED_LAYERS for PSD-style rigging, clipping, and QA.

Instructions

Create a procedural biped (a chibi adventurer, side view) whose layers follow BIPED_LAYERS, exactly as import_psd would bring in a PSD with origin="bottom": torso, head, arm_l/r, hand_l/r, leg_l/r, foot_l/r (or upper_arm/lower_arm and thigh/shin with split_limbs=true), plus cape, ponytail, belt_tail, pouch and head features (eye_r, brow_r, mouth, ear_r, hat). Try rig_biped → clip_set → qa_character on it.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNobiped
facingNoright
out_dirYes
split_limbsNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.2.0

TDQS

A3.9/5.0
Behavior4/5

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

With no annotations, the description carries the full behavioral burden and does well: it describes the generated layer hierarchy, how split_limbs changes limb layers, and the implied origin='bottom' setup. It still omits side-effect details such as output file behavior, permissions, or error conditions.

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 purpose is front-loaded and the layer enumeration is dense but purposeful. It is one long sentence plus a workflow sentence, which is acceptable, though it could be structured into clearer parameter and output sections.

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 procedural sample generator with 4 parameters and no output schema, the description gives useful layer structure and workflow context. However, it leaves out important parameter meanings, especially out_dir, and does not clarify output artifacts or side effects, so it is only partially complete.

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 explains split_limbs=true and the resulting layer changes, but it does not explain the required out_dir parameter at all, nor the name or facing parameters, leaving most parameter semantics undocumented.

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 states a specific verb and resource: create a procedural biped, with a chibi adventurer, side view. It names the exact layer structure and distinguishes the tool from other make_* sample siblings by focusing on the biped character type.

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?

It provides a concrete downstream workflow: 'Try rig_biped → clip_set → qa_character on it.' This tells the agent what to do after creation, but it does not explicitly state when to choose this tool over make_quadruped_sample, make_face_sample, or other sample generators.

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