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scan_openalex

Scan OpenAlex for recent papers matching your query and automatically insert them into your news briefs as articles.

Instructions

Scan OpenAlex for recent papers matching a query.

OpenAlex covers 474M papers including preprints. Free API, no key required.
Results are inserted into news_briefs with source_type='article'.

Args:
    query: Free-text search query. Defaults to the query in user-preferences.json
           (openalex_query field), then to your configured research topics from
           user-config.yaml, then to a generic global-health fallback.
    days_back: How many days back to search (default: 1).
    max_results: Maximum papers to retrieve (default: 10).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryNo
days_backNo
max_resultsNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

Without annotations, the description carries full transparency burden. It discloses that results are inserted into news_briefs (a side effect) and explains the default query fallback chain. However, it does not cover aspects like rate limits, error handling, or API reliability, which are important for understanding behavior.

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 concise and well-structured. It starts with a clear one-line purpose, followed by relevant context about OpenAlex, a side-effect note, and a structured argument list. Every sentence adds value without redundancy.

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?

The description sufficiently covers the tool's inputs and side effects, and an output schema exists. However, it lacks details on pagination, ordering, or error conditions, which would be helpful for a complete understanding, though not strictly required.

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

Parameters5/5

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

The schema has 0% description coverage, leaving the description to fully define parameters. It explains 'query' with its fallback defaults, 'days_back' as search range, and 'max_results' as result limit. This adds significant value beyond the schema's raw types and defaults.

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 purpose: 'Scan OpenAlex for recent papers matching a query.' It identifies the specific resource (OpenAlex) and action (scan), and distinguishes from siblings by naming the source. The additional detail about results being inserted into news_briefs further clarifies the tool's role.

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 mentions 'Free API, no key required' as an advantage but does not explicitly guide when to use this tool over similar siblings like 'scan_literature' or 'scan_news'. The usage context is implied (for OpenAlex papers) but not contrasted with alternatives.

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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