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davidmosiah

Wellness Nourish

Export intake data

nourish_export_data
Read-onlyIdempotent

Export local intake data as JSONL or CSV without provider secrets, scoping by date or row count. Omitted rows are reported for refinement.

Instructions

Export local intake data as JSONL or CSV without provider secrets or tokens. Defaults to the 500 most-recent rows; pass since/until to scope by date or max_rows to widen/narrow. Omitted rows are reported so you can refine instead of dumping months of history into chat (use the wellness-nourish export CLI for a full unbounded dump).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sinceNoOnly include entries on or after this date (inclusive, YYYY-MM-DD). Use to keep the response small instead of dumping months of history into chat.
untilNoOnly include entries on or before this date (inclusive, YYYY-MM-DD).
max_rowsNoMax data rows to return in the response (most recent first). Defaults to 500. Omitted rows are reported as a count so the agent can refine by date or fall back to the `wellness-nourish export` CLI for a full dump.
export_formatNojsonl
response_formatNojson
Behavior5/5

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

Adds value beyond annotations by stating data is exported without sensitive fields, default row limit is 500, omitted rows are reported, and the CLI alternative for full exports. No contradiction with read-only/idempotent 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?

Two concise sentences front-load the purpose and key behaviors. 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?

Provides sufficient context for an agent to select and invoke the tool correctly, covering format, defaults, scoping, and fallback. Lacks explicit output structure, but the return format (JSONL/CSV) is stated.

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

Parameters4/5

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

Adds practical guidance for since/until and max_rows parameters, explaining how to scope and that omitted rows are reported. The response_format parameter is not mentioned, but schema coverage is 60%, so the description compensates well.

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 it exports local intake data as JSONL/CSV without provider secrets/tokens. It specifies the default of 500 most-recent rows and mentions date scoping and max_rows, distinguishing it from similar list tools and the CLI alternative.

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

Usage Guidelines5/5

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

Explicitly tells when to use date scoping or max_rows to refine the export, and advises using the CLI for full unbounded dumps. Provides clear context for usage and 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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