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Finekot API

quote_card_gen

A quote, author and episode title rendered as a 1080×1080 and a 1080×1920 PNG, dark or light theme, no emoji. The square is the main result; the 1080×1920 story crop is a signed link. Cost €0.01 per card, charged to the API key in Authorization: Bearer. Parameters — quote: the quote text; author: speaker name; episode: episode title; theme: dark (default) | light.

Input Schema

NameRequiredDescriptionDefault
quoteNo
themeNo
authorNo
episodeNo

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.8/5.0
Behavior4/5

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

No annotations are supplied, so the description carries the full burden, and it does substantial work: it discloses output artefacts and dimensions, the default theme, a per-call price (€0.01) billed to the API key in the Authorization: Bearer header, and the fact that one output is a signed link rather than inline data. It omits error/rate-limit behaviour and whether generated links expire, and its stated "dark (default)" for theme conflicts with the schema's `default: null`.

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 dense sentences plus a parameter line, front-loaded with what is produced before pricing and parameter glosses; nothing is padding. The semicolon-list parameter section is terse to the point of feeling like schema echo in places, but overall it is efficient.

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?

With an output schema present, the description need not explain return values, and it covers cost, auth, dimensions, theme, and content constraints. For a zero-required-parameter tool it should still say whether the call fails or produces a placeholder when quote/author/episode are omitted, which is the main missing piece.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate, and it documents all four parameters with meaning: quote text, speaker name, episode title, and theme with a dark/light enumeration and default — the only enum evidence available since no parameter declares one. It does not explain that every parameter is optional/nullable or what happens when quote is null, which is the remaining gap.

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 names the resource and its artefacts precisely: a quote/author/episode rendered as a 1080×1080 square PNG plus a 1080×1920 story crop, in dark or light theme. An agent can tell it produces social-style quote images rather than, say, captions (caption/og_image/social_post_gen). It stops short of 5 because there is no explicit verb ("generates/renders") and no named sibling it is distinguished from.

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 implied by the output description: the square is flagged as the main result and the story crop as a secondary signed link, which tells the agent what to surface. However, there is no explicit when-to-use, when-not-to-use, or alternative named among the many image-producing siblings (og_image, screenshot, chart_render, social_post_gen).

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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