Crawlora MCP

mlb_schedule

Read-only

Fetch MLB game/schedule records for a date or date range, optionally filtered by team_id, with scores, status, probable pitchers, venue, and series details. Use mlb_game for one game, mlb_standings for a table, mlb_player_stats for one player, mlb_team_roster for a roster, or mlb_discovery to find selectors.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "mlb_schedule"
  }
}

Input Schema

Name	Required	Description
`date`	No	Optional single date in YYYY-MM-DD format.
`team_id`	No	Optional numeric MLB team id.
`end_date`	No	Optional range end in YYYY-MM-DD format; requires start_date.
`game_type`	No	Optional game type code; call mlb_discovery for all accepted codes.
`start_date`	No	Optional range start in YYYY-MM-DD format; requires end_date.

Output Schema

Name	Required	Description	Default
`data`	Yes	The tool result payload (shape varies per tool; see each tool's docs resource).

Schema Changelog

Changes observed during successful MCP inspections.

First observedOct 5, 2026

TDQS

A4.2/5.0

Behavior3/5

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

Annotations already declare readOnlyHint and openWorldHint, so the safety profile is covered. The description adds useful context about what the records contain and that filtering is optional, but says nothing about pagination, result caps, or how far back schedules are available. Adequate but not rich given 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?

Two sentences, zero filler, with the core capability front-loaded and the routing guidance trailing. Every clause carries distinct information.

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?

An output schema exists, so return-value detail is not required, and the annotations plus the sibling routing cover most of what an agent needs. The only minor gap is schedule availability/window behavior, which is not strictly necessary to invoke the tool correctly.

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 coverage is 100% and each parameter (date, start_date/end_date pairing, game_type, team_id) is documented in the schema. The description only restates date/date-range and team_id filtering at a high level, adding no format or constraint detail beyond the schema. Baseline 3 applies.

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

Purpose5/5

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

Names a specific verb (fetch) and resource (MLB game/schedule records), states the scope (a date or date range, optional team_id filter) and enumerates the returned content (scores, status, probable pitchers, venue, series details). It also distinguishes itself from five named sibling tools, so an agent can route without opening schemas.

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

Usage Guidelines5/5

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

Explicitly routes to alternatives by condition: mlb_game for a single game, mlb_standings for a table, mlb_player_stats for one player, mlb_team_roster for a roster, and mlb_discovery for selector codes. This is exactly the when-to-use/alternatives guidance the dimension asks for.

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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