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

Annotations already cover the safety profile (readOnlyHint, destructiveHint=false, openWorldHint), so the description correctly focuses on scope: a 7,793-food database, 36 nutrients returned, per-100g or arbitrary amounts, and portion-size units. It stops short of explaining behavior for unmatched foods or partial failures, which would be the remaining valuable detail.

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 first sentence duplicates the title verbatim and the fragment 'Recipe / meal totals.' restates the sentence that follows it, so two of the four sentences are largely redundant. The genuinely informative content (coverage, nutrients, units) is present but not front-loaded.

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 one-parameter, read-only aggregation tool with no output schema, the description adequately conveys what comes back (list of nutrients, totals) and the input units. Only edge-case behavior and any limits on item count are missing.

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?

There is a single parameter and schema description coverage is 100%, with the schema already spelling out the 'food:grams' syntax and JSON alternative. The description adds only indirect context ('per 100 g or for any amount, with common portion sizes'), so the baseline of 3 applies.

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 specific resource (calories and macros for a list of ingredients) and states the operation is aggregation into recipe/meal totals. It is distinguishable from nutrition_search by focusing on summing multiple items rather than lookup, though it never names that sibling, so the differentiation requires inference.

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 is implied rather than stated: 'Calculate totals for a whole recipe or meal in one request' tells the agent the intended scenario. It does not say when to prefer this over nutrition_search, nor any prerequisites or exclusions.

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