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WNBA DFS projections

invoke_wnba_projections
Read-onlyIdempotent

BankrollSZN WNBA DFS projections for the latest slate: projected minutes, DK points, floor, ceiling, value, projected ownership, salary and injury status.

Input Schema

NameRequiredDescriptionDefault
teamNoTeam abbreviation, for example LVA, NYL, IND or MIN. ESPN codes such as LV or NY work too.
limitNoMaximum rows to return. The plan limit applies on top.
playerNoPlayer name, for example A'ja Wilson.
sort_byNoSort field.
positionNoG, F or UTIL, or PG, SG, SF, PF.
slate_idNo
include_outNo

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 that results are slate-scoped and include injury status, but says nothing about rate limits, plan limits (only implied in the schema), or data freshness beyond 'latest'.

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; the enumerated fields earn their place by previewing the return payload. Slightly long, but efficient.

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?

With no output schema, listing the returned fields is genuinely useful. However, with 7 parameters, none required, and undocumented semantics for slate_id and include_out, the definition leaves gaps an agent must resolve from the schema alone.

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 71%, so the schema documents most parameters. The description contributes no parameter semantics at all – it lists return fields, not inputs – so the baseline of 3 applies where 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 names a specific resource (WNBA DFS projections for the latest slate) and enumerates the returned fields (minutes, DK points, floor, ceiling, value, ownership, salary, injury status). It is clear what the tool returns, but it does not explicitly distinguish itself from close siblings like invoke_wnba_player_pool or invoke_nba_projections.

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 and no mention of alternatives. The phrase 'latest slate' implies scope but the agent gets no help choosing between this, invoke_wnba_player_pool, or invoke_wnba_optimizer.

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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