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asset_models_list

Read-onlyIdempotent

List over 60 image models from the registry with optional filters for free, paid, paste-only, RGBA, or SVG support. Get model IDs, families, providers, and tier info for prompt-to-asset workflows.

Instructions

List the model registry (60+ entries) with optional filters. MCP equivalent of p2a models list. Returns id, family, provider, dialect, native_rgba/svg flags, text ceiling, tier (free/paid/paste-only), key_set status. Filter flags: free, paid, paste_only, rgba, svg. Read-only; no network.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
freeNoOnly zero-key / free-tier models.
paidNoOnly paid direct-API models.
paste_onlyNoOnly paste-only surfaces (Midjourney, Firefly, Krea).
rgbaNoOnly models with native transparent-PNG output.
svgNoOnly models with native SVG output.
Behavior4/5

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

Annotations already declare readOnlyHint and idempotentHint; description adds 'Read-only; no network' and lists return fields (id, family, provider, etc.) which provides additional behavioral context beyond annotations.

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?

Three concise sentences: first states purpose and size, second lists return fields, third lists filters. Front-loaded with purpose, no wasted words.

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?

Given the simplicity of a filtered list tool with full schema coverage and annotations, the description is complete: it details return fields, filter options, and safety. No output schema needed; description covers return values.

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 each parameter has a description. The description merely lists filter flags by name without adding new meaning or usage guidance beyond the schema.

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?

Description clearly states 'List the model registry' with size and optional filters, uses a specific verb and resource, and distinguishes from sibling 'asset_models_inspect' which likely inspects a single model. Also provides MCP equivalent command for context.

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?

Description notes 'Read-only; no network' but does not explicitly state when to use this tool versus alternatives like other list or generation tools. No exclusions or when-not-to-use guidance provided.

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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