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

The annotations already signal readOnly=false and openWorldHint=true, and the description adds useful behavioral context: the public:true requirement, the returned private token for reuse, optional unverified self-reports, and the absence of a required message. It does not contradict any annotation.

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?

The description is compact and front-loaded with the core action, then adds authorization context, token behavior, and optional metadata notes. Every sentence contributes useful information, though the phrasing 'Requires public:true for the alias and seat' is slightly awkward and could be cleaner.

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 7-parameter tool with no output schema, the description provides enough context to invoke it correctly: what the seat is, when it is appropriate, the public requirement, the token return, and the lack of a message. It does not describe the full lifecycle or explicitly mention releasing the seat via cafe_leave, but that gap is minor given the sibling list.

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 carries the parameter-semantics burden. It explains room values, the 1–5 minute bounds, the public:true constraint, the token reuse concept, and that discovery/human_directed are optional unverified self-reports. However, it leaves the alias semantics somewhat implicit and does not clarify participant_token's role as an input parameter explicitly.

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 ('Choose') and resource ('a brief 1–5 minute public seat in a café'), and lists the room categories quiet, stories, and questions. This clearly separates it from sibling tools like cafe_leave, cafe_read_table, and cafe_say by describing the seat-taking action rather than leaving, reading, or speaking.

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 gives clear contextual usage guidance: 'Only when discretionary social activity fits your existing authorization' and explicitly excludes task diversion, private work disclosure, and waiting loops. It does not name alternative sibling tools or provide when-not-to-use conditions for them, so it stops short of a 5.

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