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Characters and places (sheets for images and clips)

list_characters
Read-onlyIdempotent

The people, characters and PLACES of this workspace besides the one it speaks as (that one is speaker in get_brand_profile): each with its name, its kind (person = a real person, character = an invented one, place = one of the business's own premises), a short note of how it looks, what it wears (outfit, people and characters only), how many reference photos it has, and sheet: the canonical text of its sheet. Put sheet unchanged in every prompt where it appears, so clothes and places do not change between shots (with shot.subjects, generate_image and generate_video add it for you). Ask generate_image for a person or character with characters (name or id) and their photos go with the image; naming them in the prompt also works. A place never goes as a face: pass its photo as baseImageUrl (images) or imageUrl (video). They are added and edited by the user in Ignix (Sparky AI → Train).

Input Schema

NameRequiredDescriptionDefault
workspaceIdNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already mark this read-only, idempotent, non-destructive, and closed-world, so the safety profile is covered. The description adds genuinely non-obvious behavior: the exact fields each entry carries, that `sheet` is canonical text that must be reproduced unchanged, the person-vs-character-vs-place taxonomy, and that entries can only be created or edited by the user in Ignix. No output schema exists, so this field-level disclosure is the only source of return-shape information.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The content is mostly load-bearing, but the opening sentence is a run-on that crams the taxonomy, five field descriptions, and a parenthetical into one breath before any action guidance appears. A short lead like 'List the workspace's people, characters and places' followed by the sheet/prompt rules would front-load the purpose far better.

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 one-parameter, read-only list tool with no output schema, the description covers everything an agent needs: what comes back, how to reuse `sheet`, which sibling generation tool consumes which argument, and how places differ from faces. Nothing material is missing.

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% and the single `workspaceId` parameter is never mentioned. The phrase 'of this workspace' hints at scoping but doesn't say whether the id is required, what happens if omitted (defaults to current workspace?), or what format it takes — the burden falls entirely on an undocumented schema field.

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 concretely enumerates what is returned — people, invented characters, and the business's own places — and explicitly distinguishes them from the speaker entity in get_brand_profile. The listing verb is only implied, but the resource and scope are unmistakable.

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 explains how to consume the returned data: keep `sheet` verbatim in prompts, pass `characters` (name or id) to generate_image, and pass a place's photo as `baseImageUrl`/`imageUrl` rather than as a face. It also notes that generate_image/generate_video auto-add the sheet when `shot.subjects` is set. What it does not state is when to call this tool versus those siblings — the guidance is downstream-oriented rather than selection-oriented.

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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