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Nutrition by Pack4Back

Get nutrition goals

get_nutrition_goals
Read-onlyIdempotent

Goals stored in this service (pushed to Garmin when the official API allows).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
accountNoChatGPT name from list_destinations aliases (я, оксана, mogadanez). Prefer destination_id. Matched only against this user's allow-list.
destination_idNoStable destination id from list_destinations. Required when more than one destination is writable.
user_query_contextNoOriginal user message. Always forward it. Used for alias hints and audit; never expands the allow-list.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.9/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and idempotentHint=true, so the description needs to add only extra behavioral context. It contributes the fact that goals live in this service and may be pushed to Garmin when the official API allows, but this is ambiguous about whether the push is a side effect of the call or background service behavior.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence with no filler and the core storage fact is front-loaded. It is appropriately short, though the brevity contributes to the ambiguity about the tool's exact action.

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 output schema and annotations cover return values and safety, and all three parameters are optional with strong schema descriptions. However, the description itself fails to clearly state what the tool does or when it should be chosen, so the overall definition is only minimally complete despite rich structured metadata.

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%, and each parameter has a meaningful description covering aliases, allow-lists, and when destination_id is required. The tool description adds no parameter-level detail, but the schema already does the heavy lifting, so the baseline score of 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description says 'Goals stored in this service' and adds the Garmin push detail, but it never explicitly states that the tool retrieves or returns nutrition goals. The verb is supplied only by the tool title, leaving the description itself vague and not clearly differentiated from list_nutrition or get_daily_summary.

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?

There is no guidance on when to call this tool versus siblings like list_nutrition, get_daily_summary, or set_nutrition_goals. No conditions, alternatives, or exclusions are mentioned, so the agent must infer usage from the name alone.

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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