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davidmosiah

Wellness Nourish

Open Nourish dashboard

nourish_chatgpt_dashboard
Read-onlyIdempotent

Review daily nutrition summary, estimate meals safely, and receive next-meal coaching via a read-only dashboard.

Instructions

Open an interactive ChatGPT/MCP Apps dashboard for today's nutrition summary, safe meal estimation, and next-meal coaching. Read-only; logging still requires explicit user confirmation through existing tools.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateNoLocal date to summarize as YYYY-MM-DD. Defaults to today.
localeNoen
focusNo
response_formatNojson
Behavior3/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, idempotentHint=true. The description adds context about logging requiring explicit confirmation, but overall adds minimal behavioral insight beyond what annotations provide.

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 two sentences, front-loaded with the main action and scope, and a behavioral note in the second. No unnecessary words.

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

Completeness3/5

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

The tool has 4 parameters and no output schema. The description mentions what the dashboard includes (nutrition summary, safe meal estimation, next-meal coaching) but does not explain the response_format parameter or the exact output structure. Adequate but with gaps.

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

Parameters2/5

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

Schema description coverage is only 25% (only date has description). The description does not elaborate on parameters like locale, focus, or response_format, which have enums. With low coverage, the description should compensate but fails to add meaning beyond the 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 the tool opens a dashboard for today's nutrition summary, safe meal estimation, and next-meal coaching. The verb 'open' and resource 'dashboard' are specific, and it distinguishes from siblings by mentioning it's a dashboard view.

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 explicitly notes the tool is read-only and that logging requires explicit user confirmation through existing tools. This provides clear context on when to use this tool versus alternatives, though no sibling names are given.

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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