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

With no annotations, the description carries the full disclosure burden and does substantial work: it reveals the response contains tasting prose, uses, reference-relative 1–5 trait values, and two variety URLs; it also states the same-species requirement and the completeness gate. It stops short of describing failure modes or authentication needs, but is otherwise transparent.

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 compact and information-dense: the core operation and example come first, followed by eligibility rules and output-citation guidance. Every sentence earns its place, with no fluff or repetition of schema fields.

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?

There is no output schema, so the description rightly explains what comes back: tasting prose, uses, trait values, and the two variety URLs to cite. Combined with full parameter documentation, an agent has enough to select and invoke the tool correctly, though edge-case behavior when criteria are not met is left unstated.

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?

The schema already documents both parameters at 100% coverage with examples and provenance (from search_farmdex / best_for). The description adds genuine value beyond the schema by adding the same-species constraint and the completeness threshold that both a and b must satisfy.

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 states a specific operation: putting two Farmdex varieties head to head, with a concrete example ('Honeycrisp vs Gala'). It also enumerates the output dimensions (tasting prose, uses, shared trait values) and distinguishes itself from siblings by noting it is machine-only with deliberately no compare page family.

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 description gives clear context for when to use it: comparing two Farmdex varieties that are the same species and meet a completeness bar. It does not explicitly name alternatives or say 'use search_farmdex instead when...', but the schema hints at source tools and the intended use is clear.

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