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cabird
by cabird

get_diary

Retrieve a day's food diary with calories and macros for each entry, plus daily totals. Use to review logged meals and plan adjustments.

Instructions

Read the food diary for a day: every logged entry with calories and macros, plus the day's totals. Each entry carries an entry_id for delete_entry.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateNoDay to read: 'YYYY-MM-DD', 'today', or 'yesterday'.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

No annotations provided, so description carries full burden. Clearly indicates it is a read operation (non-destructive) and mentions the entry_id for deletion. Lacks details on authentication or rate limits but adequate for a read tool.

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?

Two concise sentences that front-load the key information and add a useful detail about entry_id. No wasted words.

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

Completeness5/5

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

Given that an output schema exists, the description sufficiently explains the return values (entries, totals, entry_id). Covers all necessary context for agent decision.

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

Parameters3/5

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

Schema description coverage is 100% with good parameter description ('YYYY-MM-DD', 'today', 'yesterday'). Description adds no extra parameter info beyond schema, so baseline 3 is appropriate.

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?

Clearly states it reads the food diary for a day and specifies the returned data (entries with calories/macros, totals) and the entry_id for use with delete_entry. Distinct from sibling tools like log_food or delete_entry.

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

Usage Guidelines3/5

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

Implies usage for reading diary entries but does not explicitly state when to use versus alternatives or when not to use. Sibling names hint at context but no direct guidance.

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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