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set_macro_targets

Update daily protein, fat, carbs, and calorie targets in Cronometer. Omitted values remain unchanged, preserving existing settings.

Instructions

Update daily macro targets in Cronometer.

Reads current targets first, then updates only the provided values. Omitted values remain unchanged.

Args: protein_grams: Protein target in grams. fat_grams: Fat target in grams. carbs_grams: Net carbs target in grams. calories: Calorie target in kcal. target_date: Date as YYYY-MM-DD (defaults to today). template_name: Template name (defaults to "Custom Targets").

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
protein_gramsNo
fat_gramsNo
carbs_gramsNo
caloriesNo
target_dateNo
template_nameNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

With no annotations, the description covers key behavioral traits: it reads current targets first, only updates provided values, and defaults for target_date and template_name. It could mention error handling or required authentication but is notably transparent.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely concise: one sentence for purpose, one for behavior, and a clean Args list. Every sentence adds value with no redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool has an output schema and no annotations, the description is largely complete, explaining update strategy and defaults. Minor gaps: no error handling or response format description, but overall sufficient for correct use.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema has 0% description coverage, so the description fully compensates by defining each parameter's unit (grams, kcal), format (YYYY-MM-DD), and defaults. This adds essential meaning beyond the schema's type-only definitions.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Update daily macro targets') and the resource ('Cronometer macro targets'), distinguishing it from sibling tools like get_macro_targets and set_weekly_macro_schedule.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

It explains the read-before-write behavior and that omitted values remain unchanged, providing clear usage context. However, it does not explicitly state when NOT to use this tool or mention specific alternatives.

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

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