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

With no annotations, the description carries the transparency burden. It discloses that the output is a briefing with specific sections and a ready-to-paste markdown format, and mentions 'source links' for citability. It implies a read-only, non-destructive operation. It lacks details on data freshness or limitations, but for a simple read tool it is reasonably transparent.

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 two sentences, front-loaded with the core purpose and use cases, and lists contents and usage preference without waste. Every sentence adds value, making it highly concise and well-structured.

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?

Given the tool's simplicity (0 params) and the presence of an output schema, the description is complete. It explains what the briefing includes, who it's for, and how it differs from raw odds. It doesn't need to detail return values because the output schema exists. The context is fully covered.

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?

The tool has zero parameters, so the schema fully covers them (100% coverage). Per the rubric, the baseline for 0 parameters is 4; the description adds no parameter info because none exist.

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 clearly states the tool produces a 'citeable World Cup 2026 prediction-market briefing' and enumerates its contents (winner board, groups, odds, theses, source links, markdown). It also distinguishes from siblings by noting it's for 'narrative update or shareable explanation, not just raw odds,' which differentiates it from get_world_cup_odds.

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 explicitly says 'Prefer this when the user wants a narrative update or shareable explanation,' providing a clear when-to-use directive. It also implies when not to use it ('not just raw odds'), giving an exclusion criterion relative to raw odds tools. This is strong guidance.

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