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

Annotations already declare readOnlyHint=true, idempotentHint=true and openWorldHint=false, so safety and repeatability are covered. The description adds useful value by disclosing the returned fields, but says nothing about ordering, pagination, or what happens with an unmatched filter.

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?

Two short sentences, front-loaded with what the tool returns before the filtering note. No filler, though the second sentence is more parameter restatement than guidance and could have carried routing information instead.

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?

For a read-only, zero-required-parameter listing tool with no output schema, the description helpfully enumerates the returned fields and the filter dimension. A note on the alternative get_study tool would make it fully complete.

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% and the single enum parameter is fully documented in the schema, so the baseline is 3. The description's sentence about filtering restates the schema's meaning without adding syntax, default, or behavior beyond it.

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 states a clear verb+resource: it lists the (ten) research studies and enumerates the fields each carries (question, result kind, outcome, date, page). It is legible as a browsing/listing tool, but it never names the sibling get_study, so the list-vs-single distinction is left implicit.

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?

'Can filter by the question a study asks' implies the browse-and-narrow use case, and the enumeration of fields implies discovery. However there is no explicit when-to-use guidance and no routing against get_study (single study) or search_site, leaving the agent to infer the alternative.

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