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discover_variants

Generates alternative query variations for a research cluster to explore different phrasings and refine search results.

Instructions

Emit a query-variation prompt for the given cluster.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cluster_slugYes
queryYes
countNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior1/5

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

With no annotations provided, the description carries full behavioral transparency burden. The one-sentence description discloses no behavioral traits, such as side effects, required permissions, or output characteristics, making it insufficient.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise with a single sentence, but it is too brief to provide adequate information. It lacks structure and front-loading of critical details, earning a mid-range score.

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

Completeness1/5

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

Given the tool has three parameters and an output schema, the description is severely incomplete. It fails to explain the output, the nature of the prompt, or how the parameters interact, making it inadequate for proper invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate. It does not explain the purpose of 'cluster_slug', 'query', or 'count' beyond the implied cluster and query variation, leaving parameter semantics unclear.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states it emits a query-variation prompt for a cluster, which gives a specific action and resource. However, the verb 'emit' is vague, and there is no differentiation from sibling tools like 'discover_new' or 'emit_assignment_prompt', reducing clarity.

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?

The description provides no guidance on when to use this tool versus alternatives. It does not mention prerequisites, context, or exclusions, leaving the agent without decision-making cues.

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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