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speechwire_get_room_counts

Retrieves room and section counts per competition grouping and round to identify rounds with insufficient rooms.

Instructions

Get room vs. section counts per grouping and round.

Shows how many rooms are assigned versus how many sections are needed for each competition grouping in each round. Useful for identifying rounds that are short on rooms.

Returns

list[dict] Grouping records containing: - grouping_name: str — competition grouping (e.g., "JV Policy Debate") - rounds: list[dict] — per-round room and section counts with a sufficient boolean

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

No annotations are provided, so the description carries the full burden. It discloses the return structure including the 'sufficient' boolean, implying a read-only operation with no side effects. No behavioral contradictions exist.

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 with a front-loaded purpose, followed by a brief explanation and a structured return format. Every sentence serves a clear purpose with no redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool has no parameters, no annotations, and an output schema exists (though not shown in detail), the description fully covers the tool's behavior and return structure. It is complete for a simple read operation.

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?

The tool has zero parameters, so the description adds adequate meaning beyond the schema. According to guidelines, no parameters results in a baseline score of 4.

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 clearly states the verb 'Get' and the resource 'room vs. section counts per grouping and round', making the tool's purpose immediately obvious. It also differentiates from siblings by focusing on room assignment sufficiency.

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?

The description explicitly says it is 'useful for identifying rounds that are short on rooms', providing clear context for when to use it. It does not list alternatives or when not to use, but the sibling set includes many judge and team tools, so the usage context is clear.

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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