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kula-ai

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by kula-ai

list_conference_hosts

Retrieve eligible conference hosts by provider and optional filter. Find users with active workspace seats for scheduling video interviews.

Instructions

List users eligible to be the conference host_id (e.g., for Zoom — they have an active workspace seat). Used when scheduling video-conference interviews.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
providerYesConference provider
queryNoFilter by name/email substring
pageNo
limitNo
Behavior2/5

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

No annotations are provided, and the description does not disclose any behavioral traits such as pagination, auth requirements, or side effects beyond the basic list operation.

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?

Two concise sentences with zero wasted words, front-loading the purpose and usage context effectively.

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

Completeness2/5

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

No output schema exists, and the description does not indicate what the return values look like or mention pagination behavior, leaving agents with incomplete information.

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?

The schema coverage is 50% (descriptions for provider and query, but not page and limit). The description adds context about scheduling interviews but does not explain parameter meanings beyond what the schema provides, so baseline score applies.

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 'List' and the resource 'users eligible to be the conference host_id', with an example for Zoom, making the purpose unambiguous and distinct from sibling tools.

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 'Used when scheduling video-conference interviews', providing clear context for when to use the tool, though it does not mention when not to use it or alternatives.

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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