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rename_paint_lab_trained_style

Read-only

Rename one of your trained Paint Lab styles. Does not charge or retrain.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesStyle name, 1–40 characters (for example "Ink and wash").
styleIdYesTrained style id from train_paint_lab_style or list_paint_lab_trained_styles.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesTrained style id. Pass it as trainedStyleId once status is ready.
nameNoStyle name.
errorNoUser-safe failure message when status is failed.
statusYessubmitting, queued, training, ready, or failed.
readyAtNoISO timestamp when the style became ready.
styleIdNoSame as id.
refundedNoTrue when a failed training returned its allowance.
createdAtNoISO timestamp when training was started.
errorCodeNoStable failure code when status is failed.
imageCountNoHow many of your drawings trained this style.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

B3.4/5.0
Behavior1/5

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

The description declares a mutating operation ('Rename') while the annotations set readOnlyHint=true, which asserts the tool does not modify its environment. That is a direct conflict for a tool that visibly changes stored state. Despite the useful 'does not charge' cost disclosure, the contradiction governs this dimension.

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?

Two short sentences with zero filler, and the core operation is front-loaded before the cost clarification. Nothing could be cut without losing meaning.

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

Completeness4/5

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

An output schema exists, so return values need not be explained, and both parameters are documented in the schema. The cost/no-retrain note covers the main behavioral question an agent would have, though the mismatch between the write action and the read-only annotation leaves the tool's side effects ambiguous.

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%: both 'name' (with length bounds and an example) and 'styleId' (with the source tools named) are fully documented in the input schema. The description adds no parameter detail beyond that, so the baseline 3 applies.

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?

States a specific verb ('Rename') and a precisely scoped resource ('one of your trained Paint Lab styles'), which cleanly separates it from train_paint_lab_style, list_paint_lab_trained_styles, get_paint_lab_trained_style, and delete_paint_lab_trained_style. An agent can identify the operation without opening any schema.

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?

The clause 'Does not charge or retrain' implicitly steers the agent toward this tool rather than re-running training just to change a label, which is useful implied guidance. However, it never states when to use this versus alternatives explicitly, nor any prerequisites (e.g., that the style must be yours or already trained).

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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