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List character looks

list_images
Read-only

Check character look images and their generation status by providing a character ID. Retrieve scene prompts and image URLs, and poll for completion of pending image generation tasks.

Instructions

List the looks (reference images) of a character with id, status (pending, processing, completed, failed), scene_prompt and image url when ready. Same as clipugc images list --character <id>. Also the poll call for generate_image and create_character. Costs no credits.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
characterYesCharacter id, as returned by other tools (numbers are fine as strings).

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv1.0.0

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already mark readOnlyHint and openWorldHint; the description adds meaningful behavioral detail: statuses to expect, image URL availability upon completion, CLI equivalence, and zero credit cost. This goes beyond the annotations without contradicting them.

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 dense and efficient, with every sentence adding useful information: what is returned, CLI equivalence, polling role, and cost. No filler or redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple one-parameter read-only tool, the description fully covers purpose, usage context, output details, and cost. The readOnlyHint annotation confirms safety, so nothing essential is missing.

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 description coverage is 100%, and the single parameter 'character' is already documented as the character id. The description does not add significant new meaning beyond the schema, so baseline 3 is appropriate.

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?

Clearly states the tool lists character looks/reference images with specific fields (id, status, scene_prompt, image URL) and identifies its role as the poll call for generate_image and create_character. This distinguishes it from siblings like list_characters and generate_image.

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?

Explicitly positions the tool as the polling mechanism for generate_image and create_character and notes it costs no credits. It does not state when not to use it, but the intended usage context is 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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