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MLB home run board

invoke_mlb_hr_board
Read-onlyIdempotent

Today's Dinger Detector home run board: calibrated HR probability, our odds against the DraftKings price, edge, barrel rate, park factor and weather boost.

Input Schema

NameRequiredDescriptionDefault
teamNoTeam abbreviation, for example KC or PHI.
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=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds useful context by enumerating the returned fields and noting the board is 'Today's'. It does not disclose ordering, pagination behavior, or how the plan limit constrains results.

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 with no filler. It is dense with feature names but every clause maps to actual board content, so it earns its place. Slightly list-like rather than prioritized, which keeps it from a 5.

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 only two optional parameters, the description usefully doubles as a return-value explanation by naming the metrics an agent will receive. It omits row ordering and slate/date scoping context, but for a simple read-only board tool this is close to complete.

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% for both parameters (team abbreviation and row limit), so the schema carries the parameter documentation. The description adds no filtering or format detail beyond it. Baseline 3 is appropriate when the schema does the heavy lifting.

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 identifies the resource: a daily MLB home run board with a defined set of metrics (calibrated HR probability, edge vs. DraftKings price, barrel rate, park factor, weather boost). An agent knows what data it yields. It stops short of 5 because there is no explicit verb and no sibling is named (e.g. invoke_mlb_props) to differentiate the HR board from adjacent MLB prop/market tools.

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?

No when-to-use guidance, no prerequisites, and no named alternative among the many invoke_mlb_* siblings. The agent must infer on its own whether this supersedes invoke_mlb_props, invoke_mlb_park_factors, or invoke_mlb_weather, all of which overlap with the listed columns.

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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