Games Get Game Predictor

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false, so the safety profile is fully covered without the description. The description adds the nature of the payload (predictive model outputs vs. live/actual results), which is useful, but says nothing about rate limits, freshness, or availability constraints. A 3 is appropriate given annotations carry the behavioral load.

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?

A single front-loaded sentence with zero waste; the payload contents come first. It is efficient, though its brevity borders on under-specification rather than true conciseness.

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?

No output schema exists, and the description does tell the agent what data comes back, so the return-value burden is partially met. However, for a 4-parameter required-key read tool sitting among a dozen similar games_* endpoints, the absence of any disambiguation or parameter context leaves it only minimally adequate.

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 only 50%: sport and league have examples, but event_id and competition_id are undocumented and the description adds no meaning for any of the four. With low coverage the description should compensate, and it does not explain what competition_id selects or what event_id format is expected.

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?

Specific verb (Fetch) plus a clearly named resource (ESPN predictive matchup model) and the exact outputs it returns: win percentages, projected margins, ratings. It reads distinctly from games_get_event_odds or games_get_power_index, though it never explicitly contrasts itself with the neighboring games_get_win_probabilities tool.

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?

There is no statement of when to use this versus the many near-siblings that also return game-level numbers (win_probabilities, power_index, event_odds). No prerequisites, no exclusions, no selection context — the agent must infer usage entirely from the name.

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