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apply_subtopic_assignments

Writes subtopic frontmatter to paper notes based on cluster assignments, structuring research documents for organized retrieval.

Instructions

Write subtopics frontmatter to each paper note.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cluster_slugYes
assignmentsYes

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 only says 'Write', implying mutation, but does not disclose whether changes are reversible, what permissions are needed, or the output structure. The description carries the full burden but adds minimal behavioral context.

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 a single, concise sentence that is front-loaded. It earns its place but arguably is too terse given the tool's complexity and lack of other documentation.

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?

Given the tool has two required parameters with no schema descriptions, no annotations, and a large sibling list, the description is insufficient. It does not explain the role of the tool in the broader workflow or what the output schema contains.

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

Parameters2/5

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

Schema description coverage is 0% and the description does not explain the parameters 'cluster_slug' or 'assignments'. Although the names are somewhat self-explanatory, the description fails to add any additional meaning beyond what the schema provides, especially lacking type or usage details.

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 specifies the action ('Write') and the resource ('subtopics frontmatter to each paper note'). It distinguishes from sibling tools like 'propose_subtopics' (which proposes) and 'apply_cluster_summaries' (which applies summaries).

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 guidance on when to use this tool versus alternatives, no prerequisites mentioned, and no context about workflow order (e.g., needing to propose subtopics first).

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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