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MLB stolen base board

invoke_mlb_stolen_bases
Read-onlyIdempotent

Today's stolen base model board: steal probability per runner, our odds, the DraftKings line and the edge, plus sprint speed, catcher pop time and pitcher time to the plate.

Input Schema

NameRequiredDescriptionDefault
teamNoTeam abbreviation, for example NYY.
limitNoMaximum rows to return. The plan limit applies on top.
playerNoPlayer name, for example Aaron Judge.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false, so the safety profile is covered. The description adds real value by naming the columns returned (probability, odds, DK line, edge, sprint speed, pop time, time to plate), which matters because there is no output schema. It does not disclose freshness guarantees, auth, or rate limits.

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?

A single compact sentence that front-loads the resource and then lists the payload fields. No filler sentences; the only mild redundancy is the subtitle-like 'model board' phrasing.

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 no output schema and annotations covering safety, the description's enumeration of returned fields is exactly the missing piece an agent needs to judge relevance. Filter behavior for the three params is left implicit, which is the main remaining gap.

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 team, limit, and player are already documented with examples in the schema. The description adds nothing about filtering semantics (e.g., whether team/player act as filters or whether limit interacts with the plan limit). Baseline 3 is appropriate.

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?

The description names a specific resource (today's stolen base model board) and enumerates its contents, so an agent can tell it is a stolen-base prop/edge board rather than a generic props feed. It does not explicitly contrast itself with adjacent siblings like invoke_mlb_props or invoke_mlb_hr_board, but the topic is unambiguous.

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?

There is no explicit when-to-use, when-not-to-use, or named alternative. The word 'Today's' implies it is a daily snapshot for stolen-base betting/DFS, but the agent must infer that. No prerequisites or routing guidance are given.

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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