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

Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=false, so safety is covered. The description adds useful behavioral detail beyond that: a cap of 20 results, the return shape {id, title, url}, and the empty-query behavior that lists newest papers.

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?

The description is compact and front-loaded: it states what is searched, the result cap and shape, the follow-up action, and the empty-query behavior in just a few sentences. Every sentence adds distinct information without repetition.

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 only one parameter and an existing output schema, the tool is simple, and the description covers the key behavior including empty-query handling and return count. The remaining gap is lack of query-syntax guidance, which is minor given the schema's simplicity.

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 0%, and the single `query` parameter has no schema-level documentation, so the description must carry the burden. It does explain that an empty query lists newest papers and that ids are used with `fetch`, but it does not clarify query syntax, matching behavior, or how keywords are interpreted, leaving a clear gap.

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?

The description names a specific verb and resource ('Search QuanterLab's published research papers') and further scopes it as registered walk-forward studies with trial records. It also implicitly distinguishes itself from the sibling `fetch` by explaining that passing an id to fetch retrieves the paper's text, so an agent can tell them apart without inspecting schemas.

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?

It provides clear context for use: searching published research and using an empty query to list the newest papers. It points to `fetch` as the follow-up for full text. However, it doesn't explicitly state when not to use this tool or contrast it with other listing siblings like `list_my_projects`.

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