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PostQuickAI

generateCarouselCaption

Generate a carousel caption

Generate a caption specifically tailored for a multi-slide carousel post. Counts as 1 AI text generation.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
contentGroupIdYesContent group whose brand profile grounds the caption
existingContentNoExisting caption to improve

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior4/5

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

With annotations already declaring readOnlyHint=false, openWorldHint=true, non-idempotent and non-destructive, the safety profile is covered by structured data. The description adds a genuinely useful behavioral trait beyond that: the call consumes 1 AI text generation credit, which matters for quota-aware planning and is not derivable from annotations or schema. It says nothing about what is persisted or returned, which keeps it short of a 5.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two short sentences, front-loaded with the action and followed by scope and cost. The opening line duplicates the tool name, which is mild redundancy, but nothing is padded or 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 two-parameter AI-generation tool with no output schema and annotations covering safety, the description is minimally adequate: it conveys scope and cost. It leaves open whether the caption is returned to the agent, written to the content group, or needs a follow-up call, which an agent planning a workflow would want to know.

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%, so both contentGroupId and existingContent are already documented in the schema, and the baseline is 3. The description adds no parameter-level detail, such as whether existingContent is the full prior caption or what happens when it is omitted.

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?

States a specific verb (Generate) plus a specific resource (carousel caption), and the second sentence narrows the scope to a multi-slide carousel post, which implicitly separates it from the generic generateCaption and the video-oriented generateVideoCaption siblings. It never names those alternatives explicitly, so the differentiation is inferred rather than stated.

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?

Usage is only implied: 'tailored for a multi-slide carousel post' tells the agent the right context, but there is no explicit when/when-not guidance and no routing against generateCaption, which is the obvious competing sibling for caption text. The cost note is helpful but is not usage 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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