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PostQuickAI

generateCaption

Generate a caption

Generate a social media caption with AI, optionally grounded in a content group's brand profile. Counts as 1 AI text generation.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
contextNoWhat the caption is for, e.g. "product launch post". Default: "social media post"
contentGroupIdYesContent group whose brand profile grounds the caption
existingContentNoExisting caption to improve or rewrite

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?

Annotations already declare non-read-only, non-idempotent, open-world behavior, and the description adds genuinely useful non-structural context: that the call consumes '1 AI text generation' and that brand grounding is optional. It still doesn't say whether the generated caption is persisted or returned only, which is the main remaining gap.

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 with the key facts front-loaded and no padding. The leading 'Generate a caption' restates the tool name and title, which is minor redundancy rather than bloat.

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 3-parameter generation tool the definition covers cost and grounding, but with no output schema it never indicates what is returned (caption text only, or a saved asset), which is the one thing an agent would need before chaining this into a post-creation flow.

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 all three parameters are already documented in the schema. The description's mention of brand-profile grounding largely restates the contentGroupId schema text and adds no new syntax, defaults, or format detail, so the baseline 3 applies.

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 and resource: 'Generate a social media caption with AI.' An agent can tell it produces caption text, but it does not distinguish itself from the closely related siblings generateCarouselCaption and generateVideoCaption, so it is clear without being sibling-differentiating.

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 by the purpose and by the note that grounding in a content group's brand profile is optional. There is no explicit when-to-use guidance and no direction to the carousel/video caption siblings, so the agent must infer routing.

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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