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davidmosiah

Wellness Nourish

List intake

nourish_list_intake
Read-onlyIdempotent

Retrieve food intake logs filtered by date, meal type, tag, source, or confidence. Returns most recent entries first.

Instructions

List local intake entries with optional filters: date OR since/until range, meal_type, tag, source_trace, min_confidence, limit. All filters AND together. Returns most-recent-first.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tagNoFilter to entries that have this tag (case-sensitive).
dateNoSingle-day filter. Mutually exclusive with since/until.
limitNoMax entries to return (most recent first). Defaults to all matching.
sinceNoStart of date range (inclusive). Use with `until` for multi-day queries.
untilNoEnd of date range (inclusive).
meal_typeNoFilter to a single meal type.
privacy_modeNosummary = high-level totals without item detail; structured = default full JSON-friendly fields; raw = same as structured for this local store (parity).structured
source_traceNoFilter by how the entry was created.
min_confidenceNoOnly return entries whose confidence is >= this value (e.g. 0.7).
response_formatNojson
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint as safe. The description adds behavioral context like filter conjunction, date mutual exclusivity, privacy_mode effects, and default sorting, which goes beyond annotations.

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 a single sentence of 20 words, front-loaded with the main purpose, and contains no superfluous information.

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 10 mostly optional parameters, no output schema, and strong annotations, the description adequately covers filter behavior, ordering, and privacy modes. It is complete enough for an agent to use correctly.

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?

With 90% schema description coverage, the schema already documents most parameters. The description adds value by explaining filter combination logic and privacy mode options, but does not significantly exceed baseline for a high-coverage schema.

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 'List local intake entries' with specific verb and resource, and the optional filters distinguish it from sibling tools that perform other actions like log, update, delete, or memory listing.

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?

The description explains filtering behavior (AND, date ranges, optional filters) and ordering (most-recent-first). However, it does not explicitly contrast with sibling list tools like nourish_list_memory or nourish_search_food, which could be 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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