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batch_summarize_articles

Summarize multiple articles in a single request, processing up to 20 article IDs at once. Get concise summaries for efficient multi-article analysis and faster research.

Instructions

Summarize multiple articles at once. $0.001 per article. More efficient for analyzing multiple articles.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
conciseNoReturn shorter summaries for quick overview
articleIdsYesArray of article IDs to summarize (max 20)
Behavior3/5

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

With no annotations, the description carries the burden of behavioral disclosure. It adds a cost factor ('$0.001 per article') which is useful, but it does not mention return format, error handling, or whether the tool is read-only. Given the simple nature of the tool, the transparency is adequate but incomplete.

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 extremely concise: three short sentences that cover purpose, cost, and efficiency. Every sentence provides value, with the main action first. No wasted words or redundant details.

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

Completeness4/5

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

Given the tool's simplicity (2 parameters, no output schema), the description covers the essential aspects: what it does, cost, and efficiency context. It lacks details on return format or partial failure behavior, but those are not critical for a straightforward batch summarization tool. Overall, it is nearly complete.

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?

Schema description coverage is 100% for both parameters (articleIds and concise), so the schema already provides full parameter details. The description adds no additional parameter semantics beyond the schema, so a baseline '3' is appropriate.

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 tool's function: 'Summarize multiple articles at once.' The verb 'summarize' and resource 'multiple articles' are specific, and it distinguishes itself from the sibling summarize_article by focusing on batch processing. This is unambiguous.

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 provides usage context: 'More efficient for analyzing multiple articles.' This implies when to use it over single-article alternatives, though it does not explicitly name the alternative or state exclusions. The guidance is clear enough for an agent to select this tool for batch tasks.

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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