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search_academic

Search academic sources like arXiv and Wikipedia to find research papers and factual information for academic queries and literature discovery.

Instructions

Search academic sources (arXiv, Wikipedia). Best for research questions, paper discovery, and factual lookups.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesSearch query
num_resultsNo
Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. It mentions the sources (arXiv, Wikipedia) but doesn't describe important behaviors like rate limits, authentication needs, result format, pagination, or whether this is a read-only operation. The description is insufficient for a tool with no annotation coverage.

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 with just two sentences that are front-loaded and waste-free. The first sentence states the core purpose, and the second provides usage context. Every word earns its place with no redundancy.

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 no annotations, no output schema, and incomplete parameter documentation (50% schema coverage), the description is insufficiently complete. It doesn't explain what the tool returns, how results are structured, or important behavioral constraints. For a search tool with multiple sibling alternatives, more context is needed.

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 50% (only 'query' has a description). The description adds no specific parameter semantics beyond what the schema provides. It doesn't explain what constitutes a good query format, what 'num_results' controls, or any constraints. With moderate schema coverage, the baseline 3 is appropriate as the description doesn't compensate for the coverage gap.

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

Purpose4/5

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

The description clearly states the tool's purpose as 'Search academic sources (arXiv, Wikipedia)' with specific resources named. It distinguishes from siblings by focusing on academic sources rather than general web, GitHub, or engine comparison. However, it doesn't explicitly contrast with each sibling tool by name.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides implied usage guidance with 'Best for research questions, paper discovery, and factual lookups,' suggesting appropriate contexts. However, it doesn't explicitly state when NOT to use this tool or name specific alternatives among the sibling tools (compare_engines, search_github, search_google, search_web).

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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