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

Annotations only declare readOnlyHint=false, destructiveHint=false and openWorldHint=true; the description adds meaningful context beyond them: the call is free (contrasted with the 'paid create_series'), it is a state-changing gate whose result unlocks later paid operations, and it is rejected while any episode still needs a rewrite. The revision/content_hash provenance requirement also implies optimistic-concurrency semantics. It does not describe whether an approval can be superseded or revoked, but the added behavior is substantial for a tool with these annotations.

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?

It is short and leads with the cost fact, which is a relevant discriminator against paid siblings. But the sentences are dense and one clause ('after the customer saw say') is garbled enough to slow an agent down, and the cost statement appears before the tool's actual purpose.

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 three-parameter mutation tool with no output schema, the description covers cost, refusal precondition, argument provenance and downstream consequences, which is most of what an agent needs to call it correctly. Gaps remain around what the approval produces and how a stale or superseded approval behaves, but nothing essential is missing.

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 0%, so the description carries the full burden. It does well for two of three parameters, explaining that revision and content_hash must be exactly 'as get_season_plan or save_season_plan returned them', which conveys token-matching semantics not inferable from the bare titles. series_id is never explained and no format or range detail is given, so the compensation is incomplete.

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?

The description states a specific verb and resource: 'Record the customer's yes to one exact plan', i.e. an approval of a season plan, and it explicitly names get_season_plan, save_season_plan, create_series and make_episode as the neighboring operations. An agent can distinguish it from the read and save siblings. It loses a point only because the phrasing is tangled ('after the customer saw say') rather than a clean single-sentence statement of purpose.

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 a genuine precondition for use as well as for refusal: approval is refused 'while any episode needs a rewrite', and it names the downstream operations that require an approved current revision (create_series, make_episode). That is close to explicit when/when-not guidance. It stops short of telling the agent what to do instead when refused (e.g. edit_episode_plan first), so it is not a 5.

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