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

Annotations already declare readOnlyHint=true, openWorldHint=true and destructiveHint=false, so safety is covered by structured data. The description adds value beyond that: it declares the ordering direction, flags the endpoint as BETA, and — with no output schema present — sketches the row payload (buyer, coverage, both risk blocks with score 1-10, probability, base_rate, relative_risk). It omits any note on rate limits, result caps or what happens when zero buyers match.

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?

Three sentences, front-loaded with what the tool returns and how it is ordered, then usage, then row shape. Dense but every clause carries information; the parenthetical field inventories are slightly heavy but justified given the absence of an output schema.

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, all-optional-parameter list tool with full schema coverage and no output schema, this is close to sufficient: purpose, ordering, screening options, pagination handoff and row contents are all discoverable. Remaining gaps are the BETA caveats (stability/limits) and edge-case behavior on empty results.

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 all seven parameters are already documented, which sets the baseline at 3. The description does clarify the ordering semantics behind `model` ('ordered by one buyer score, highest first') and names `min_score` as a screening threshold, but adds no format or interaction details for name, region, country or cursor beyond what the schema states.

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?

Specific verb and resource — lists scored public buyers (contracting bodies) in Spain or France — plus the ordering rule (by one buyer score, highest first) and a BETA status marker. It also distinguishes itself from the sibling procurement_buyer, which returns a single buyer, so an agent can tell the two apart without opening either schema.

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?

Gives three concrete selection scenarios: screening a portfolio via min_score, viewing a region, and resolving a buyer name to an identifier before calling procurement_buyer. That is clear usage context with an explicit handoff to a sibling, though it never states what this tool should NOT be used for (e.g. full buyer risk detail, awards history).

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