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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint=false, so the safety profile is covered upstream. The description adds the useful behavioral claim that it returns the complete figure set for one record within a single dataset, but says nothing about what happens when the id is absent or does not belong to the dataset.

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?

It is a single compact sentence, which is appropriately sized, but the parenthetical enumeration of four identifier names is bulky and misleading rather than informative. The core scope statement ('every figure for one record ... within one dataset') is buried inside that list.

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 two required parameters, a 16-member dataset enum, no output schema and zero schema descriptions, the definition should clarify what the dataset values select and how the id is interpreted per dataset; it gestures at that ('within one dataset') without resolving it. The return shape is at least characterized as 'every figure', which is the main thing an agent needs.

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%, so the description must carry the parameter burden, and it only partly does: it explains that lookups are scoped 'within one dataset' but leaves the 16-value dataset enum entirely unexplained. Worse, it names identifier parameters (record_id, site_id, company, claim_id) that do not exist in the schema, which conflicts with the actual single 'id' field.

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 conveys that this fetches the full detail ('every figure') for a single record inside a dataset, which is a distinct resource from the sibling list/search tools. However, it never uses a clean verb construction, and it labels the identifier as 'record_id, site_id, company, claim_id' when the schema exposes a single 'id' field, muddying exactly what is being addressed.

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?

There is no explicit when-to-use guidance and no reference to the alternatives in the sibling set (search_records, list_datasets), so an agent must infer that this is the single-record full-detail lookup rather than a search. No preconditions or 'use X instead when...' routing is offered.

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