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repurpose

Transform a blog post into native content for Twitter, LinkedIn, Reddit, HackerNews, Bluesky, and newsletters, preserving URLs and respecting each platform's character limits.

Instructions

Transform a full blog post into platform-native content for twitter, linkedin, reddit, hackernews (title only), bluesky, newsletter (intro paragraph). Costs 1 credit per call. Output preserves URLs and respects each platform's character limits. Returns: { outputs: { twitter?: string[], linkedin?: string, reddit?: { title, body, subreddits }, hackernews?: string, bluesky?: string, newsletter?: string } }. Common errors: insufficient credits (PAYMENT_REQUIRED).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
contentYesThe full markdown article to repurpose
titleYesThe article title
urlNoThe published article URL for links and CTAs
platformsYesTarget platforms: twitter, linkedin, reddit, hackernews, bluesky, newsletter
Behavior4/5

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

With no annotations provided, the description carries the full burden. It discloses credit cost, output preservation of URLs and character limits, and error conditions. However, it does not mention idempotency, rate limits, or authentication requirements.

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?

The description is a single, well-structured paragraph that front-loads the main purpose and covers cost, output format, and errors concisely without unnecessary words.

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

Completeness5/5

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

For a tool with 4 parameters and no output schema, the description is comprehensive: it explains the transformation, credit cost, output shape with TypeScript-like types, and common error. This is sufficient for an agent to understand the tool's behavior.

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?

Input schema has 100% parameter description coverage, so the description adds marginal value beyond the schema. The description reiterates some context (credit cost, output shape) but does not clarify parameter specifics further.

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?

The description clearly states the verb 'Transform' and resource 'full blog post' into specific platform-native content for six named platforms. This distinguishes it from sibling tools like 'generate_social_posts' or 'cross_publish'.

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 description mentions credit cost and common error but does not explicitly state when to use this tool versus alternatives. It implies usage for repurposing a blog post to platform-native formats, but lacks exclusions or comparison to siblings.

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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