Recallroll

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

Annotations already declare readOnly, openWorld, idempotent, and non-destructive behavior. The description adds useful context beyond those annotations: US-only VINs, batch size, decoded fields, recall ordering, and remedy/campaign data. It does not mention rate limits or error behavior, but it is materially informative.

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?

A single front-loaded sentence that packs scope, output fields, and advisory ordering without filler or repetition. Every clause earns its place.

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 helpfully previews returned fields and recall-advisory ordering. However, it omits what full controls and any error or partial-decoding behavior, so it is only partially complete for a two-parameter lookup tool.

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 50%: vins is described as 17-character VINs, while full has no schema or description. The description repeats the 1-10 VIN limit and adds US scope, but never explains what the full parameter controls, leaving one of two parameters opaque.

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+resource: decode VINs and list NHTSA recalls, with decoded fields and advisory ordering named. It does not explicitly distinguish itself from the sibling vehicle_recalls tool, so it stops short of a 5.

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?

No explicit when-to-use, when-not, or alternative-to-sibling guidance is given. Input limits imply the tool is for 1-10 VINs, but the description does not tell an agent when to choose this over vehicle_recalls.

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

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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint and destructiveHint=false, so the safety profile is fully covered. The description adds one genuine behavioral detail not in the annotations — result ordering with 'advisories first' — but says nothing about result limits, upstream latency, or what 'full' changes.

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?

A single sentence with zero waste; the resource and scope are front-loaded and the ordering hint is appended without padding.

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 simple read-only lookup with no output schema, the description covers the core call adequately, but the undocumented 'full' parameter and the absence of any expected-output shape (counts, per-recall fields, truncation) leave real gaps an agent would have to discover by trial.

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. It names make/model/year and clarifies 'model year', but adds no format guidance (e.g., 4-digit year as an integer, official make spelling) and never mentions the fourth parameter 'full' or its default of false, leaving it entirely undocumented.

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?

States a specific verb (List), a specific resource (NHTSA safety recalls), and the exact input scope (make, model, model year, no VIN needed). The parenthetical '(no VIN needed)' implicitly separates it from the sibling check_vins, so an agent can route between them without opening a 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?

The 'no VIN needed' qualifier gives a clear selection condition: use this when you only have make/model/year. However, it never names check_vins as the alternative or states explicitly when that sibling should be preferred, so the routing is inferred rather than spelled out.

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