Games Get Game Predictor

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

Annotations already declare readOnlyHint, idempotentHint, non-destructive, and openWorld, so the safety profile is covered. The description adds that the data comes from ESPN's predictive model, which is useful source context, but discloses nothing further about freshness, coverage, or failure behavior for an open-world fetch.

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 tight sentence with the resource front-loaded after the verb; nothing is wasted. It is arguably slightly under-specified rather than verbose, but it is 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?

With no output schema and 0% parameter description coverage, the description carries the full burden but only sketches the return contents. It never explains how to supply the required sport/league/event_id identifiers, leaving a core gap for a 4-parameter 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 description coverage is 0% across four parameters (sport, league, event_id required; competition_id optional/nullable). The description mentions no parameters at all, so it does not compensate for the undocumented schema — an agent gets no hint about accepted identifier formats or how competition_id interacts with league.

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?

States a specific verb (Fetch) and resource (ESPN predictive matchup model win percentages, projected margins, ratings), which clearly conveys what is returned. However, it does nothing to distinguish itself from close siblings like games_get_win_probabilities, games_get_event_odds, and games_get_power_index, whose outputs overlap conceptually.

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 when-to-use guidance, no prerequisites, and no mention of any alternative tool. With a crowded sibling set (win probabilities, odds, power index), the absence of routing guidance leaves the agent to guess which predictor-adjacent tool to call.

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