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MLB game totals and odds

invoke_mlb_game_odds
Read-onlyIdempotent

Today's MLB market lines by game: total with over and under prices, moneylines, no-vig win probability, team implied runs, run line, and the move since the opening line.

Input Schema

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

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 useful context by specifying that the data is todays/current market lines and enumerating the returned fields, which matters since there is no output schema, but it omits freshness guarantees, refresh cadence, and auth or rate-limit behavior.

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 front-loaded sentence leads with the essential scope (todays MLB market lines by game) before listing the data fields. It is slightly dense with field enumeration but every element earns its place as return-value content given no output schema.

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 only two well-documented parameters and annotations covering safety, the main gap would be return content, and the description fills it by listing total, moneylines, no-vig probability, implied runs, run line, and line movement. Minor omissions remain (timezone definition of today, game-level pagination behavior) but the definition is largely complete for a read tool.

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 both the team and limit parameters are already documented in the schema. The description mentions grouping by game but adds no syntax, format, or filtering semantics beyond what the schema provides, 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?

The description states a specific resource (todays MLB market lines by game) and enumerates the exact data content returned, so the agent knows precisely what the tool yields. However, it does not differentiate itself from siblings like invoke_mlb_line_movement or invoke_odds_comparison, which overlap on line-movement and odds content.

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 guidance, no prerequisites, and no alternative tool named. The word Today's implies a recency scope but does not tell the agent when to prefer this tool over invoke_mlb_line_movement or invoke_odds_comparison.

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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