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generate_social_posts

Generate platform-optimized social copy from an article for Twitter, LinkedIn, Reddit, and Bluesky. No credentials required. Costs 1 credit per call.

Instructions

Generate platform-optimized social copy from an article: twitter (thread), linkedin (long form), reddit (post + suggested subreddits), bluesky (single post within 300 graphemes). Costs 1 credit per call regardless of platform count. No platform credentials required (this generates copy; use bluesky_post / linkedin_post / x_post / mastodon_post to actually post). Returns: { posts: { twitter?, linkedin?, reddit?, bluesky? } }. Common errors: insufficient credits (PAYMENT_REQUIRED).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
contentNoFull article markdown content for rich generation
titleNoArticle title (used if content not provided)
summaryNoArticle summary (used if content not provided)
urlNoArticle URL for links and CTAs
platformsYesPlatforms: twitter, linkedin, reddit, bluesky
Behavior4/5

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

No annotations provided; description carries full burden. Discloses cost, credential requirements, return structure, and common error. Slightly vague on whether it modifies any state, but generation is inherently read-like.

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?

Front-loaded with platforms and cost, then returns, then errors. Every sentence adds value without redundancy.

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?

Covers inputs, outputs, error cases, cost, and alternatives. No output schema, but return structure is described clearly. Complete for the tool's purpose.

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 covers 100% of parameters, but description adds context: explains that content is preferred over title/summary, and platforms are listed. Clarifies usage of alternative fields.

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?

Describes generating platform-optimized social copy from an article, lists specific platforms (twitter, linkedin, reddit, bluesky) with formats. Clearly distinguishes from posting tools by naming them.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly states when to use this tool: to generate copy (not post), and names alternatives for posting (bluesky_post, linkedin_post, etc.). Also notes cost (1 credit per call) and that no platform credentials are required.

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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