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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds useful context: results are published recipes, nutrition is per serving, and ingredients are USDA-traceable. It doesn't mention pagination, ordering, or that only published recipes are returned, but the annotations carry the main behavioral burden.

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, no filler. The first sentence front-loads the core purpose and key data attributes; the second sentence gives usage context. 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?

For a read-only search tool with no output schema, the description covers the main things an agent needs: what is searched, what data is included, and when to use it. It doesn't describe result ordering, pagination, or how filters combine, but those are minor for a simple search tool with annotations already covering safety and idempotency.

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 only 17% (only 'query' has a description), so the description must compensate. It does add meaning by explaining that results include per-serving calories and protein, which maps to minProteinPerServing, and that ingredients are USDA-traceable, which relates to query matching. However, it doesn't explain diet/meal enum semantics, maxTotalMinutes, or limit behavior beyond what the schema already shows. Baseline 3 is appropriate because the description adds some but not full compensation for the low coverage.

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 verb ('Search'), a specific resource ('Published GLP-1 recipes'), and adds distinguishing detail: per-serving calories/protein and USDA FoodData Central traceability. It also contrasts with target-setting tools, so an agent can tell it apart from calculate_glp1_target and get_appetite_ceiling without opening the 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 description gives clear context: use it when someone asks what to actually eat, rather than what their targets are. It doesn't explicitly name sibling alternatives or say when not to use it, but the 'rather than' phrasing implies the boundary against target-calculation tools. It could be stronger with an explicit pointer to search_foods for ingredient-level lookups.

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