mlb_prospect_stats

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

No annotations are provided, so the description carries the full behavioral burden. It adds useful context (first-party anonymous prospect tables, 'validated' date periods and thresholds, local name/position filters), but says nothing about authentication needs, rate limits, default behavior when no list_type is supplied, or the shape of the returned stats.

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 the purpose, then capabilities, then routing hints; the structure is logical and no sentence is filler. It repeats 'MLB Pipeline' three times, which is mildly wasteful but not harmful.

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?

For a 9-parameter tool with zero required params, no annotations, and no output schema, the description covers parameter categories and the source of valid values reasonably well. It still leaves gaps: default behavior with an empty call, how offset/limit interact, and what statistics are returned, which an agent would need to call confidently.

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 100%, so the schema already documents every parameter and enum. The description only restates the categories (Top 100/all/team list, batter/pitcher views, date periods, thresholds, name/position filters) and adds no syntax or format detail beyond what the schema provides, so the baseline 3 applies.

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 and resource ('Get MLB Pipeline prospect statistics and rankings') and further narrows scope by describing the exact data source ('anonymous first-party prospect tables'). This distinguishes it from MLB-level siblings like mlb_player_stats, mlb_team_stats and mlb_league_stats, since it is explicitly about prospects.

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 routes the agent to a sibling for one class of inputs ('Use mlb_discovery for date periods, minimum thresholds, and positions') and names the source for another ('Team ids come from mlb_teams'). It does not, however, say when to prefer this over mlb_player_stats or mlb_team_stats, so there is no explicit exclusion between the stat tools themselves.

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