Skip to main content
Glama
davidmosiah

Wellness Nourish

Suggest next meal

nourish_suggest_next_meal
Read-onlyIdempotent

Suggest a next meal by analyzing today's intake, goals, personal memory, and optional wearable context to help meet nutrition targets.

Instructions

Suggest a next meal from today's intake, goals, personal memory, and optional wearable context.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateNo
focusNo
localeNoen-US
meal_typeNo
auto_wearableNoIf true and no wearable_context is passed inline, try to read the most recent shared wellness_context from ~/.delx-wellness/ (written by a wearable connector). The coach reports whether a context was actually found; it never fabricates wearable data. Inline wearable_context always wins over the auto-pulled one.
response_formatNojson
workout_contextNo
recent_intake_idNo
wearable_contextNo
Behavior3/5

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

Annotations already declare readOnlyHint and idempotentHint, so the description doesn't need to repeat that. It adds context about input sources but does not disclose behavior like how suggestions are generated, what happens if insufficient data, or potential limitations. Acceptable but not enriched 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?

A single sentence that conveys the essential purpose without any fluff. It is appropriately front-loaded and efficient, making it quick for an agent to parse.

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

Completeness2/5

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

For a tool with 9 parameters, 0 required, no output schema, and a complex domain (nutrition suggestions), the description is too brief. It lacks information about the return format, how suggestions are tailored, or what happens when data is missing. Given the richness of context needed, this is inadequate.

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 coverage is very low (11%), with only auto_wearable having a description. The overall description fails to compensate by explaining other parameters like date, focus, meal_type, or how wearable_context is used. The agent would need to infer meaning from names alone, which is insufficient.

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 verb 'Suggest' and resource 'next meal', specifying sources (today's intake, goals, personal memory, wearable context). It effectively distinguishes from siblings like nourish_estimate_meal (estimates nutrients) and nourish_log_intake (logs). This is a specific and helpful purpose statement.

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

Usage Guidelines2/5

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

No explicit guidance on when or when not to use this tool compared to alternatives like nourish_daily_coach or nourish_estimate_meal. The description implies it's for meal recommendations but fails to provide context for selection among siblings.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/davidmosiah/wellness-nourish'

If you have feedback or need assistance with the MCP directory API, please join our Discord server