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

With annotations only declaring non-read-only/non-destructive, the description carries real behavioral weight: it discloses the required `write` scope, that this is proposal-only, that nothing is booked until user confirmation in flayr, and that each resulting post still goes through approval. That is exactly the non-obvious, side-effect context an agent needs before calling a write tool.

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 compact sentences plus a short endpoint note, with the write-scope marker and the core action front-loaded. The parenthetical endpoint reference is marginally redundant but does help disambiguate `id`, so it earns its place.

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 3-parameter mutation tool with no output schema, the description covers the critical concerns: side-effect scope, confirmation gate, approval chain, and defaults. The remaining gap is the meaning of `platforms` and what the proposal response looks like.

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 only 33%, so the description should compensate more. It usefully implies `id` is the experiment id (via the wrapped path) and explains that absent `startAt` the first slot defaults to now, but `platforms` (1–10 strings) is left entirely unexplained in both schema and description.

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 names a specific verb and object ('Proposes slots to post the winning version again') and even ties it to the repeat-winner endpoint for an experiment, so its purpose is unambiguous. It does not explicitly contrast itself with adjacent siblings such as start_experiment_round, publish, or update_scheduled_post, which keeps it from a 5.

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?

Implicit usage is clear (propose re-posting a concluded experiment's winner), and the 'default 3 over 2 weeks' gives a starting point. However, it never says when to pick this over publish or start_experiment_round, nor what prerequisite state the experiment must be in.

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