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cross_sport_build_accumulator

Read-onlyIdempotent

Build accumulators across football and cricket by modeling joint probabilities of multiple outcomes with configurable legs and minimum edge per leg.

Instructions

Model the joint probability of multiple outcomes across football and cricket.

Args: legs: Total legs across both sports (2-8). Default 3. min_edge: Minimum edge per leg. Default 0.05.

Returns: data: same shape as football_build_accumulator, with sport field per leg. meta.estimated: true.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
legsNoTotal legs across both sports (2-8). Default 3.
min_edgeNoMinimum edge per leg. Default 0.05.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataNo
metaNo
errorNo
Behavior4/5

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

Annotations already indicate readOnly, idempotent, non-destructive. The description adds that the output has the same shape as football_build_accumulator with a sport field per leg, and meta.estimated is true, which enriches behavioral understanding beyond bare annotations.

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 concise, front-loaded with the purpose, and each sentence (purpose line, args, returns) serves a clear function with no wasted words.

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?

Given the two simple parameters, complete schema, and rich annotations, the description provides sufficient context including output shape and meta flag. It could mention supported sports explicitly but is otherwise adequate.

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?

Input schema covers 100% of parameters with descriptions. The description repeats default values and ranges but does not add new semantic meaning beyond what the schema already 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 models joint probability across football and cricket. The cross-sport aspect distinguishes it from single-sport siblings like football_build_accumulator, though it does not explicitly contrast them.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies use for multi-sport accumulators (football and cricket), but provides no explicit guidance on when to use this tool vs alternatives like football_build_accumulator or when not to use it.

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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