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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds valuable behavioral context beyond annotations: the live nature of the query, relevance-based ranking, the fields returned, and the conditional free full-text URL. No contradictions found.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Four sentences with zero filler: the core purpose leads off, followed by filters, return values, and the sibling alternative. Every sentence earns its place and the routing instruction is saved for the natural closing position.

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

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

With no output schema present, the description correctly shoulders the burden of explaining return values, and it does so explicitly (OpenAlex id, DOI, title, authors, venue, year, citation count, full-text URL). Search scope, source, ranking, and filters are all covered. Minor omissions like pagination/rate limits are not material for a read-only search tool whose limit parameter is already documented in the schema.

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

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

Schema description coverage is 100%, so the schema already documents all 5 parameters fully. The description adds light confirmation by grouping 'optional author, year, and open-access-only filters' and noting the query spans title/abstract/fulltext, but it does not add meaning materially beyond what the schema provides. Baseline 3 is appropriate.

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

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

States a specific verb ('Search'), a specific resource ('~250M scholarly works (papers, preprints, datasets) live via OpenAlex'), and a precise scope ('by keyword across title, abstract, and full text'). It also explicitly differentiates from the sibling paper_fulltext_search by naming it and describing its different scope, so an agent can distinguish the tools.

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

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

Ends with an explicit routing instruction: 'Use paper_fulltext_search to search inside the locally indexed open-access corpus.' This tells the agent when not to use this tool and points to the alternative. The live-vs-local distinction gives a clear selection condition.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.