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cross_publish

Publish one article to multiple CMS platforms in a single call. Sets the first successful platform's URL as canonical for all others. Reports per-platform success or error for Dev.to, Ghost, Hashnode, WordPress, Medium, and Substack.

Instructions

Publish one article to multiple CMS platforms in a single call. Costs 1 credit total regardless of how many platforms (typical use: 5 platforms). The first successful platform's URL is wired as the canonical for the rest. Requires credentials for every target platform. Returns: { results: [{ platform, status: 'success'|'error', url?, error? }], canonical_url, summary: { ok, failed } }. Common errors: zero platforms configured (VALIDATION_ERROR), credit exhaustion (PAYMENT_REQUIRED). Per-platform failures are reported in results without aborting the whole call.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
platformsYesPlatforms to publish to: devto, ghost, hashnode, wordpress, medium, substack
titleYesArticle title
contentYesArticle content in markdown
subtitleNoSubtitle / dek (used by Substack)
tagsNoTags for the article
statusNoPublish statusdraft
featured_image_urlNoFeatured image URL
canonical_urlNoCanonical URL for cross-posting
seriesNoSeries name (supported on Dev.to and Hashnode)
primary_platformNoPlatform to treat as canonical source. Its published URL becomes the canonical_url for all other platforms. Defaults to the first platform in the list.
Behavior5/5

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

No annotations provided, so the description carries full burden. It covers canonical URL wiring, per-platform failure behavior, common errors, and credit cost. This is comprehensive behavioral disclosure.

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?

The description is a single paragraph but efficiently packs information. It could be structured into bullets for readability, but it is not overly verbose.

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?

Given 10 parameters and no output schema, the description provides return value structure, common errors, and per-platform result handling. It covers all necessary context for correct invocation.

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

Parameters5/5

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

Schema has 100% coverage with descriptions. The description adds value by explaining canonical URL wiring, platform-specific notes (e.g., subtitle for Substack, series for Dev.to/Hashnode), and primary_platform behavior, which goes beyond the schema.

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 'Publish one article to multiple CMS platforms in a single call', which is a specific verb+resource. It distinguishes from sibling tools like 'publish' (likely single platform) and platform-specific tools (bluesky_post, linkedin_post, etc.).

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

Usage Guidelines4/5

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

The description mentions credit cost, credential requirement, and error handling. It doesn't explicitly state when to use this vs alternative tools like 'publish' or 'repurpose', but the context of multi-platform publishing is clear.

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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