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Crawlora MCP

mlb_league_leaders

Read-only

Fetch MLB league leader rankings and player/team records for one or more categories. Pass comma-separated categories; use mlb_discovery to find accepted values and optional season, group, game type, league, and limit filters.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
groupNoOptional stat group filter.
limitNoOptional leaders per category, 1-100. Defaults to 10.
seasonNoOptional. Four-digit season; defaults to the current year.
game_typeNoOptional MLB game type code.
league_idNoOptional. MLB league id: 103 (American League) or 104 (National League).
categoriesYesRequired comma-separated MLB leader category names; discover the full list with mlb_discovery.

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

A3.6/5.0
Behavior3/5

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 only that multiple comma-separated categories are accepted; it says nothing about authentication, rate limits, or response shape, so it modestly clears the lowered bar.

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 tight sentences with the core action front-loaded and the routing hint second. No filler, though it could be slightly more compact.

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 a rich schema, an output schema present, and annotations covering read-only/open-world behavior, the description supplies what an agent needs to invoke it correctly. Only the absence of result-shape nuance keeps it from a 5.

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% and the schema documents all six parameters including defaults and value ranges. The description's parameter content (comma-separated categories, discovery source) mostly repeats what the schema already states, so baseline 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?

Specific verb (Fetch) plus resource (MLB league leader rankings and player/team records) that an agent can distinguish from sibling stat/standings tools. It does not explicitly name those siblings as alternatives, but the 'leaders' framing is clear.

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

Usage Guidelines4/5

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

Explicitly routes the agent to mlb_discovery for accepted category values and describes the optional filter set (season, group, game type, league, limit). It lacks a when-not/exclusion statement, but the context for use is clear.

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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