Image models
modelsList the image models with their options and per-image prices. Free.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
modelsList the image models with their options and per-image prices. Free.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
readOnlyHint=true already tells the agent this is a safe read. The description adds two useful bits beyond that: the call is free (no billing impact) and the response includes per-model options and per-image prices. It stops short of stating format or ordering, but with annotations covering the safety profile this is adequate.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two short sentences, front-loaded with the verb and resource, with no filler. Every clause (options, prices, free) carries information.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no output schema, the description must convey what comes back, and it does: a list of models with their options and per-image prices. For a parameterless read-only catalog tool this is close to complete, though it could note ordering or whether disabled models are included.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool takes zero parameters, so there is nothing for the description to clarify; the baseline for a parameterless tool applies. No contradictions with the empty schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
States a specific verb (list), resource (image models), and what each entry includes (options and per-image prices). It's clearly distinct from the sibling generate_image, though it doesn't name that sibling explicitly.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Usage is implied — an agent lists models to pick one before calling generate_image — and the trailing 'Free' hints at a cost-check use case. However, there's no explicit 'use this before generating' or when-not guidance.
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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