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Mavline

Odds De-vig MCP Server

by Mavline

get_today_mlb

Fetch today's MLB games with de-vigged odds. Use this tool to get fair probabilities by removing bookmaker margin from the Odds API data.

Instructions

Get today's MLB games with processed odds (API efficient)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
deVigMethodNoMethod for removing vig (default: proportional)proportional
Behavior2/5

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

With no annotations, the description must carry the behavioral transparency burden. It mentions 'processed odds' and 'API efficient' but does not disclose return structure, timezone semantics, pagination, or other behavioral details.

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?

The description is a single, front-loaded sentence that conveys the core purpose efficiently. Every word adds value, and there is no redundant or filler content.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool is simple with one optional parameter, and the description states the main output concept ('today's MLB games with processed odds'). However, without an output schema or usage context, the description leaves some gaps around expected response shape and when to choose this tool over siblings.

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%, with the single parameter deVigMethod already described and constrained by enum values and a default. The description adds no additional parameter context beyond what the schema provides.

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 clearly states the tool gets today's MLB games with processed odds, using a specific verb and resource. It distinguishes itself by scoping to today's MLB games, though it does not explicitly contrast with sibling tools like get_processed_odds.

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 guidance on when to use this tool versus alternatives such as get_upcoming_odds or get_processed_odds. The phrase 'API efficient' hints at a benefit but does not explain selection criteria or exclusions.

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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