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dburge86

kenpom-mcp

by dburge86

get_hca

Retrieve historical home court advantage statistics for all college basketball teams to analyze performance trends.

Instructions

Get home court advantage data.

Returns historical home court advantage statistics for all teams.

Returns: JSON array of home court advantage data.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are provided, so the description carries the full burden for behavioral disclosure. It only states the return type (JSON array) and the general content, but does not mention data source, time range, potential side effects, or any rate limits. For a read operation this might be tolerable, but the description omits important context about what 'home court advantage' entails statistically.

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?

The description is short and front-loaded with the main purpose. However, the last line 'Returns: JSON array of home court advantage data' is redundant with the previous sentence, which diminishes conciseness slightly. Still, it avoids fluff and is easy to scan.

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?

Given that there is an output schema (though not shown) and no parameters, the description is minimally viable. It clearly states the tool returns data for all teams. However, it lacks detail on what specific statistics are included or any seasonal context, which limits completeness for an agent trying to understand the result's nature.

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?

There are zero parameters, so the baseline is 4. The description adds semantic context about the data ('historical... for all teams'), which is useful beyond the empty schema. No parameter explanation is needed.

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?

The description uses the specific verb 'Get' with the resource 'home court advantage data', and further clarifies 'historical home court advantage statistics for all teams', which distinguishes it from sibling tools like get_team_stats or get_efficiency. It is unambiguous about what the tool returns and its scope.

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, no mention of prerequisites or exclusions. The description simply states what it does without any contextual direction or comparison to sibling tools.

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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