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build_claim_groups_v1

Groups conclusions from academic papers by clustering similar claims across documents, with options to limit claims per paper or preview results.

Instructions

对结论进行分组/聚类。

Args: scope: 处理范围,"all", "comm_id:...", "doc_ids:id1,id2" max_claims_per_doc: 每个文档最多处理多少条结论 dry_run: 是否仅预览

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
scopeNoall
max_claims_per_docNo
dry_runNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations are provided, and the description lacks behavioral details such as idempotency, side effects, or required permissions. The dry_run parameter hints at preview capability, but overall transparency is low.

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 very short and front-loads the purpose. Parameter explanations are inline and clear. No redundant text, though could be slightly better organized.

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?

Despite having an output schema, the description does not explain what the grouping output looks like or any behavioral traits. With no annotations and only basic parameter info, the description is incomplete for a complex 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?

Schema coverage is 0%, so the description carries the burden. It explains all three parameters (scope, max_claims_per_doc, dry_run) with enough context about expected values (e.g., 'all', 'comm_id:...', 'doc_ids:id1,id2'). This adds meaningful guidance beyond the raw schema.

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 '对结论进行分组/聚类' (group/cluster claims), which clearly indicates the tool's purpose. However, it does not differentiate from sibling tools like 'build_claim_groups_v1_2', which likely performs a similar function.

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?

No explicit guidance on when to use this tool versus alternatives. The description only lists parameters without context on use cases, prerequisites, or exclusions.

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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