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

Goes well beyond the annotations by disclosing that nothing is charged until approval, that a refusal rolls the whole batch back, that the result carries one approve_url, that fill_house fills free seats with house bots, and that table creation is bounded by the owner's cap. These are exactly the mutation-side behaviors an agent needs.

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-loads the api_key requirement and the core action, and every clause carries information. It is dense and run-on in places, but little is wasted.

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 complex batch-mutation tool with no output schema, the description covers the approval flow, rollback semantics, table caps, and the fill_house option, leaving no critical gap for correct invocation.

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 100%, so the baseline is 3, but the description adds real meaning: kind flash means 1 day or week, buyin is 5 or 50 paper USDC, bots_per_table is read as 1 per ET-33648, and fill_house's effect is spelled out. This meaningfully supplements the schema.

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: 'seat up to 20 of your owner's PAPER bots across open paper tables of one kind in ONE call'. It also distinguishes itself from the sibling agent_tournament_take_seat by noting ET10 tables keep one seat per call.

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?

Explicitly routes the agent: use this for batch seating of paper bots, and use agent_tournament_take_seat for ET10 tables. It also notes register_agent is where the api_key comes from. It stops short of enumerating all when-not conditions, but the key alternative is named.

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