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

Annotations already declare readOnlyHint=true and idempotentHint=false, and the description usefully explains why non-idempotency matters: 0-2 openings are randomly assigned, so repeated calls may differ. It also discloses that no model is invoked (latency/cost relevant) and adds a disclosure constraint about not surfacing openings prematurely — meaningful behavior beyond the 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?

Front-loaded with what is returned, followed by the authoring instruction and the disclosure caveat; every clause carries information. The parenthetical enumerations ('rakip ya da kullanıcının takım arkadaşı', '(düşük seviyelerde)') make it dense but not wasteful.

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?

With 9 parameters, an output schema, and full annotation coverage, the description supplies the behavioral essentials an agent needs: it returns a briefing rather than a speech, the agent writes the speech, and openings must stay hidden pre-jury. The required 'onerge' parameter's role is left entirely to the schema, which is acceptable.

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 baseline is 3; the description earns a bump by adding conditional behavior tied to parameters — random openings are assigned only 'düşük seviyelerde' (seviye), and the speaker becomes a teammate when kullanici_rolu is supplied. These are effects the schema enums alone do not convey.

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 uses a specific verb and resource ('Kürsüde brifingini döndürür') and scopes it to the AI speaker who is the opponent or the user's teammate, which implicitly separates it from a self-prep briefing. It never names the sibling tools (hazirlik_brifingi, poi_brifingi), so the agent must infer the boundary rather than being told it outright.

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 states clearly when this applies (opponent or teammate speech) and what to do with the result: 'Model çağırmaz; konuşmayı brifinge uyarak sen yaz' — the agent must author the speech itself rather than expecting generated text. It also gives an output-handling rule: don't reveal the assigned openings before jury evaluation. No explicit when-not/alternative tool is named.

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