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Crawlora MCP

mlb_statcast_run_value

Read-only

Fetch Baseball Savant batting or pitching Run Value rows with year, team, minimum PA, leverage, table type, conditional subtype, local sorting, and pagination. Use mlb_discovery for valid values; Bat-side R/L was verified as a no-op selector and is not exposed.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
minNoOptional minimum plate-appearance threshold from mlb_discovery. Defaults to q.
sortNoOptional local sort field from mlb_discovery; fields depend on type, year, and leverage.
teamNoOptional MLB team id from mlb_discovery; omit for all teams.
typeNoOptional first-party table view: All, Swing-Take, Pitch Type, or Attack Region. The Bat-side view is also available; its R/L sub-selector does not change the returned table and is not exposed as a filter.
yearNoOptional season from 2008 through the current season, All, or Career. Defaults to the current season.
groupNoOptional table group: Batter or Pitcher. Defaults to Batter.
limitNoRows per page, 1-500; defaults to 100.
offsetNoZero-based row offset, 0-10000.
leverageNoOptional run-value method: Neutral or Leveraged. Defaults to Neutral.
sort_dirNoOptional local sort direction: asc or desc.
sub_typeNoConditional selector: Swing or Take; one of the listed pitch names; or Heart, Shadow, Chase, or Waste, depending on type. Omit for All.

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

A3.7/5.0
Behavior4/5

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 real behavioral context beyond that: the Bat-side R/L sub-selector was verified as a no-op and is deliberately not exposed, which prevents the agent from trying to filter on it, plus it notes pagination is local.

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

Conciseness4/5

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

Two sentences, front-loaded with the verb and resource before the supporting detail. The parameter inventory sentence is somewhat dense and list-like, but nothing is padded or repeated.

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 and annotations covering the read-only profile, the description need not explain return values, and all 11 params are documented. The only shortfall is the absence of sibling routing (e.g. vs fielding run value), which is a minor gap rather than a blocking one.

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 every parameter (defaults for min, year, group, leverage, limit; ranges for limit/offset) is already documented in the schema. The description only re-lists the parameter categories and adds no syntax, format, or interaction detail, so the baseline of 3 applies.

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 verb and resource ('Fetch Baseball Savant batting or pitching Run Value rows') and enumerates the selectable dimensions (year, team, min PA, leverage, table type, subtype, sorting, pagination). Saying 'batting or pitching' implicitly separates it from the fielding-run-value sibling, but it never names that sibling, so the differentiation is left partly to inference.

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

Usage Guidelines3/5

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

Provides one explicit routing rule ('Use mlb_discovery for valid values'), which is genuinely useful for the enum-less string params. However it gives no when-to-use/when-not guidance relative to alternatives such as mlb_statcast or mlb_statcast_fielding_run_value, so the agent must infer selection from the resource name alone.

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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