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

With no annotations supplied, the description carries the full burden and does well: it discloses the billing model (billed per post generated, €0.02 per post) and the auth mechanism (charged to the API key in Authorization: Bearer), plus the per-platform character-limit behavior. It stops short of describing failure modes or what happens on partial platform failure, so it is not a 5.

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?

Front-loaded with what the tool produces, then billing, then a compact parameter glossary — no filler sentences. The parameter block reads as one long run-on, which is dense but still scannable; minor structural cost only.

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?

An output schema exists, so return-value explanation is not needed, and the description covers everything else an agent needs before calling: input sources, defaults, ranges, language behavior, per-platform limits, and the cost implication of the n parameter. Nothing material is missing for a generation tool of this complexity.

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 description coverage is 0%, so the description must compensate, and it does: every one of the five parameters is explained with format and meaning — transcript as plain text or JSON [{start,end,text}] segments, audio_url as an alternative source, platforms as a comma list of x/linkedin/instagram/threads, n as 1-5 per platform (default 2), lang as output language defaulting to the transcript's own.

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-and-resource: generating N post options per platform (X, LinkedIn, Instagram, Threads) that promote an episode from its transcript, constrained to each platform's character limit. That is concrete enough to distinguish it from siblings like caption, shownotes_gen, or newsletter_draft_gen without opening any schema.

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?

It gives useful input-selection guidance (transcript text/JSON segments vs audio_url as an alternative) and states defaults for platforms, n, and lang. However, it never says when to reach for this tool instead of a nearby sibling such as caption or rewrite, and there are no explicit when-not conditions.

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