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

With no annotations, the description carries full burden. It discloses that results are seeded and reproducible, and that it shows how each result moves chances. However, it doesn't explicitly state that it runs simulations (though param descriptions cover trials), nor any safety aspects like read-only nature.

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 sentences packed with purpose, behavior, and required inputs. No redundancy or waste. Front-loaded with core concept.

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 no output schema, the description provides a good mental model of what is returned (how chances move per result). It mentions seeded/reproducible behavior but lacks explanation of trial count effect or output format specifics. Still, adequate for a simulation tool.

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 covers all 4 parameters with descriptions. The description adds minimal extra meaning beyond summarizing inputs (competition slug and team name). Baseline 3 is appropriate given high schema coverage.

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 computes a team's qualification chances and how results affect them, specifying inputs (competition slug, team name) and distinguishing from siblings like get_standings or get_tournament_odds by focusing on scenario analysis.

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 tells the user to provide competition slug and team name. It implies use for group stage qualification but doesn't explicitly state when not to use or mention alternatives. Still, guidance is clear enough for most users.

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