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Regenerate drop cover

regenerate_drop_cover
Destructive

Regenerates AI cover image for a drop. Use when the user wants a new cover for the social asset.

Input Schema

NameRequiredDescriptionDefault
drop_idYes
team_idNo
durationNo
aspect_ratioNo
channel_presetNo

Output Schema

NameRequiredDescriptionDefault
_viewTypeYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.1/5.0
Behavior2/5

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

The annotations already declare destructiveHint=true and readOnlyHint=false, so the safety profile is partly covered. However, the description adds no behavioral detail beyond the annotations: it does not say whether the existing cover is replaced, whether generation is asynchronous, or whether there are cost or rate-limit implications.

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, front-loaded with the core action and followed by the usage condition. There is no wasted wording.

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

Completeness2/5

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

This is a destructive five-parameter generation tool with no schema parameter descriptions, yet the description provides no parameter guidance. The output schema and annotations cover return values and safety flags, but the description is still too thin for the tool's complexity.

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?

Schema description coverage is 0% and the description explains none of the five parameters. It mentions only that the operation is for a drop, which does not clarify team_id, duration, aspect_ratio, or channel_preset.

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 states a specific verb and resource: regenerates an AI cover image for a drop. This naturally separates it from regenerate_drop_copy, but it does not explicitly name siblings or clarify boundaries beyond the object being different.

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 gives a clear usage context: use when the user wants a new cover for the social asset. It does not state when not to use it or name alternatives, but the intended trigger is easy to infer.

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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