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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false, so safety is covered. The description adds genuinely new behavioral context: case-insensitive name matching, the exact funding_phase values returned, and a structured { error } with available_values on unknown names.

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 core action and resource lead the sentence, and the long return-value enumeration earns its space because there is no output schema. It is dense but not padded, though the trailing list of returned fields is close to overload.

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, the description takes on the return-value burden and does so well, enumerating the returned fields including the citable amira_url and item counts, and documenting the error case. Only the routing to alternative tools remains unaddressed.

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 coverage is 100% and the schema already gives an example value, so the baseline is 3. The description adds semantics the schema lacks: matching is case-insensitive and accepts alternate casing such as 'Mobilities'.

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 specific verb and resource ('Full detail for one research section by `name`') and scopes it to a single section, which cleanly separates it from the sibling list_research_sections. The example name makes the expected input concrete.

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?

Usage is implied by 'Full detail for one research section', which contrasts with listing tools, but no alternative is named explicitly and there is no statement of when to prefer this over search or list_research_sections. The unknown-name error path gives a discovery hint ('available_values') but this is reactive rather than proactive guidance.

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