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MLB pitcher props vs BankrollSZN projections

invoke_mlb_props
Read-onlyIdempotent

Today's MLB pitcher props next to the BankrollSZN projection: strikeouts and pitcher outs. Each row shows the consensus main line, our projection, the gap, the lean, our chance of the over, the no-vig book chance, the odds and the books. Pass player for one pitcher. Without player it lists the biggest gaps. Games that already started are left out.

Input Schema

NameRequiredDescriptionDefault
leanNoKeep only props where our projection leans this way.
teamNoTeam abbreviation, for example NYY.
limitNoMaximum rows to return. The plan limit applies on top.
marketNoOne prop market.
playerNoPitcher name, or part of a name.
sort_byNoedge (default) uses diff_pct.
min_booksNoKeep only props priced by at least this many books.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnly/idempotent/non-destructive, so safety is covered. The description adds genuine behavioral context the annotations don't: games already started are excluded, and the no-player default ranks by biggest gaps.

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?

Purpose is front-loaded in the first sentence, followed by output columns, then the player-mode and started-game rules. The column enumeration is slightly listy but each element is informative, so no sentence is wasted.

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, the description carries the burden of describing return values and does so by enumerating the row fields. Modes and the started-game filter are covered; pagination/rate details are only implied via the schema's plan-limit note.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so the baseline is 3 and the schema documents all seven params. The description adds real meaning beyond the schema by explaining the `player` param's dual behavior (one pitcher vs. default gap listing), lifting it above baseline.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource (lists today's MLB pitcher props next to BankrollSZN projections) and names the two covered markets (strikeouts, pitcher outs). An agent can distinguish this from the broad invoke_mlb_projections sibling purely from the text.

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?

Gives clear operational context: pass `player` to target one pitcher, omit it to get the biggest gaps by default. It does not name a sibling alternative or an explicit when-not-to-use, so it stops short of a 5.

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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