rb209_grass_defoliation_sequences_by_country

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It does indicate a non-mutating GET/list operation, but it does not clarify that results are filtered by country despite the tool name, nor does it disclose the response shape, ordering, pagination, or any failure modes. This is minimal behavioral context for a tool with five required inputs.

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 description is a single concise sentence with no filler. The URL placeholder listing is somewhat redundant with the input schema, but it does not hurt clarity. It is appropriately front-loaded with the endpoint and purpose.

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?

The five parameters are fully described in the schema, and the tool's purpose as a lookup for defoliation sequences is stated. However, with no output schema and no annotations, the agent is left without guidance on how the return list is structured or how this endpoint differs from the generic rb209_grass_defoliation_sequences tool. Adequate for a simple filterable list, but with clear gaps.

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 the schema already documents all five parameters. The tool description adds no new parameter-level meaning beyond restating them in the URL path. This matches the baseline of 3 for a well-covered schema.

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 clearly identifies the resource: a list of defoliation sequences for grass fields, and the verb 'list' matches the tool's lookup nature. However, it does not explicitly distinguish this 'by_country' variant from its close siblings rb209_grass_defoliation_sequences and rb209_grass_defoliation_sequence, relying on the name and URL rather than the prose.

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 guidance is given about when to use this tool versus the other defoliation sequence tools or how to source the five required IDs. The description simply states what the endpoint returns, with no context about preferred use cases, exclusions, or related lookup tools.

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