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get_rating_domain

Retrieves ordered rating classes for a soil concern, from worst to best, to inform conservation planning decisions.

Instructions

Ordered rating classes (worst to best) for a concern.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
concernYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It adds useful context by specifying the ordering ('worst to best'), but it does not mention error conditions, return behavior for invalid concerns, or whether it is explicitly read-only. The lack of annotation makes the description the sole source, and it only partially addresses this.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, concise sentence that is front-loaded with the key information. Every word contributes to the purpose, and there is no wasted text.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool is simple with one parameter and an output schema that likely describes the return structure, so the description needn't explain return values. However, it lacks context about when to use this tool versus siblings and how the 'concern' is specified. It is minimally sufficient but has clear gaps.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate. It mentions 'concern' as the parameter, but this only restates the schema's property name. It does not explain what constitutes a concern (e.g., ID vs. name), allowed values, or format. The description adds minimal semantic value beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool returns ordered rating classes for a concern, which is specific and distinguishes it from sibling tools like list_concerns or get_concern_details. It uses an implied verb ('get' from the name) and specifies the scope ('for a concern'), though it could be more explicit about the action.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool vs. alternatives. The description only states what the tool does, with no mention of use cases, prerequisites, or situations where other tools should be preferred.

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

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