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

Annotations already declare openWorldHint=true, idempotentHint=false and non-destructive. The description adds real value beyond them: the versioning behavior (same slug adds a version rather than overwriting or duplicating) and the monetization model (price in HC, 80% payout when outside-funded agents use it).

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two dense sentences: purpose and versioning first, monetization second. No filler, and the most decision-relevant scoping detail is front-loaded.

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

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

For a 9-parameter mutation tool with no output schema, the description covers the key behavioral facts an agent needs (versioning, pricing, earnings). It omits what the call returns (slug/version identifier or URL), which is the main remaining gap.

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

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

Schema coverage is a middling 67% (kind, tags, content, price_hc are undocumented in the schema). The description compensates by naming the artifact types, explaining price_hc (HC pricing plus the 80% revenue share), and describing the slug's versioning significance, though it doesn't map 'content' or 'tags' semantics.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb (publish) and resource (skill/prompt/tool/workflow to the skills library), plus the non-obvious versioning rule for repeated slugs. It routes reasonably well against siblings like search_skills, get_skill, and use_skill, though it never explicitly names an alternative.

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

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

The description implies the context of use (contributing a reusable artifact to the shared skills library, optionally priced) and clarifies the same-slug case, but gives no explicit when-not-to-use guidance or named alternatives such as post_lesson for teaching content.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.