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Crawlora MCP

mlb_schedule

Read-only

MLB schedule and scores for one date or date range.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateNoOptional single date in YYYY-MM-DD format.
team_idNoOptional numeric MLB team id.
end_dateNoOptional range end in YYYY-MM-DD format; requires start_date.
game_typeNoOptional game type code; call mlb_discovery for all accepted codes.
start_dateNoOptional range start in YYYY-MM-DD format; requires end_date.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYesThe tool result payload (shape varies per tool; see each tool's docs resource).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior2/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the safety profile is covered. The description adds no behavioral context of its own — no note on defaults when no params are supplied, no pagination or coverage caveats — so it does not exceed the annotation baseline.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

A single front-loaded sentence with no filler; the resource and the scoping constraint are both stated up front and nothing needs trimming.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With an output schema present, return values need no explanation, and all five parameters are fully described in the schema. The description covers purpose adequately, though for a tool with optional-only params it could have noted default behavior when no date is given.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

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 date, start_date/end_date pairing, team_id, and game_type. The description only echoes the date-range concept and adds no syntax or semantic detail beyond the structured fields, which is the baseline when the schema does the heavy lifting.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific resource (MLB schedule and scores) and scope (one date or date range), which is enough to separate it from stat-oriented siblings like mlb_standings or mlb_player_stats. However, it never names a sibling or clarifies its boundary against mlb_game or mlb_team_roster, so it falls short of the top band.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The phrase 'for one date or date range' implies the input shape but gives no when-to-use vs when-not guidance and points to no alternative tool. An agent must infer that mlb_game exists for single-game detail and mlb_discovery for codes.

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

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