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zztdandan

image-generate-mcp-remote

by zztdandan

Preset Catalog

list_image_presets_tool

List registered image generation presets with their bound tool, base URL, and default model for configuring multi-provider support.

Instructions

List registered presets with bound tool, base URL, and default model

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
versionYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

With no annotations provided, the description bears full responsibility for behavioral disclosure. It only states 'List' (indicating a read operation) but omits key behavioral traits such as authentication requirements, rate limits, pagination behavior, or whether it returns all presets or supports filtering. This lack of detail hampers the agent's ability to safely invoke the tool.

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 extremely concise (one short sentence) with no redundant information. It is front-loaded with the action and key details, and every word adds value. It earns its place without being verbose.

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 simple tool with one parameter and an output schema, the description provides the core purpose. However, it lacks explanation of the parameter and behavioral context. Given the existence of an output schema, the return values may be covered there, but the description still misses usage guidance and transparency details, making it only minimally adequate.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The single parameter 'version' has 0% schema description coverage, and the tool description does not explain its role, format, or constraints. The schema only shows it is an enum with value 'v1', but without description or clarification, the agent cannot determine how to set this parameter or what it affects.

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 clearly states the action ('List'), the resource ('registered presets'), and the specific attributes included ('bound tool, base URL, and default model'), making the tool's purpose immediately obvious. It effectively distinguishes this from sibling tools like 'gpt_image_2_official' which are generation tools, and 'list_image_tools_catalog_tool' which likely lists tools rather than presets.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives. It does not mention prerequisites, exclusions, or indicate scenarios where a sibling tool would be more appropriate. The agent must infer usage context from the tool name and description alone.

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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