analyze_day

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false, so the safety profile is handled. The description adds that results are aggregated per meal and ranked by top contributors, which is useful behavioral context, but it says nothing about empty-day behavior or how the aggregation handles partial data.

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?

One purpose sentence followed by a compact Args block; there is no filler. The line wrapping is slightly awkward and the phrase 'A day at a glance' is decorative, but nothing is wasted.

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?

An output schema exists, so return values need not be explained, and for a simple two-optional-parameter read tool the purpose plus both parameters are covered adequately. The remaining gap is routing guidance against sibling summary tools, which is minor for a low-risk read.

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 carries the full burden. It supplies the date format (YYYY-MM-DD) and the today fallback, plus clarifies that 'top' controls how many top foods are listed — meaning the schema alone does not convey. It omits the default value of 10 and any bounds or validation on 'top'.

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 names a specific analysis output: per-meal calories and macros plus the top energy- and protein-contributing foods. That is clearly a read-oriented day summary, distinguishable in substance from logging tools, though it never explicitly contrasts itself with the nutrition-summary siblings.

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?

There is no statement of when to reach for this tool versus alternatives such as get_daily_nutrition, get_daily_macro_targets, or find_entries_by_food, and no mention of preconditions or when the analysis is not appropriate. The agent must infer the use case from the purpose line alone.

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