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

No annotations are provided, so the description carries the full behavioral burden. It adds one genuinely useful trait — output is advisory and 'never an instruction' — but says nothing about whether the call is read-only, deterministic, or subject to limits, so it does not fully cover a tool with zero annotation support.

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?

Two sentences, zero padding. The functional statement comes first and the advisory framing second, so the most important information is front-loaded and the caveat clearly 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 must convey the shape of the result, and it does: which results to raise plus a general timeframe band. Combined with the advisory framing, this is nearly sufficient, with only minor gaps around input format expectations.

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 should compensate for the single nested array parameter. It confirms the input is 'biomarker statuses', which partially aligns with the {biomarker_code, status} items, but adds no format detail, accepted code values, or note about the 100-item cap.

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 gives a concrete verb and resource: it takes biomarker statuses and returns which results warrant discussion of repeat testing plus a timeframe band. This is clearly distinct from get_biomarker_info (lookup) and interpret_lab_report (interpretation), though it never names those siblings to sharpen the boundary.

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?

Usage context is implied by the framing ('a conversation to have with the vet'), which tells the agent the output is advisory. However, there is no explicit when-to-use guidance relative to interpret_lab_report or get_biomarker_info, and no stated prerequisites or exclusions.

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