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RosTeHeA

Iridium MCP Server

by RosTeHeA

list_my_foods

Retrieve your saved reusable foods to quickly log meals by name, using stored macros for accurate nutrition tracking.

Instructions

List the user's saved reusable foods ("My Foods" in Iridium) — things like their homemade shakes, favourite bars, go-to salads. Call this FIRST whenever the user refers to a food by name as if it were already known — for example: "log my blueberry shake," "another Nuun," "my usual lunch." If a match exists, reuse its macros and pass the MyFood's name verbatim to log_food_entry so the logged entry reads naturally. Scale macros by the actual servings consumed if it differs from the default (defaultServingSize / defaultServingUnit). If nothing matches, fall back to your own macro knowledge. You usually only need to call this once per conversation.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

With no annotations, the description must disclose behavior. It explains the tool lists personal foods, should be called early, and implies it returns macros and serving info. However, it does not mention pagination, rate limits, or assume a complete list, which is a minor gap.

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 coherent paragraph with front-loaded purpose, then usage guidance. Each sentence adds value, though it could be slightly more terse. It is well-structured but not maximally concise.

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 no output schema and no annotations, the description covers the tool's purpose, usage context, and result handling (macros and serving scaling). It lacks explicit output format specifications but is complete for decision-making.

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?

The input schema has zero parameters, so the description need not add parameter details. Baseline 4 applies, and the description adds useful context about when to call the tool but no parameter information is needed.

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 lists the user's saved reusable foods ('My Foods in Iridium') and provides concrete examples (homemade shakes, bars, salads), making the purpose unmistakable and distinguishing it from sibling tools.

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?

Explicit instructions to call this FIRST when the user refers to a known food by name, with examples like 'log my blueberry shake' and fallback guidance. Also details how to reuse macros and scale servings, leaving no ambiguity about when and how to use this tool.

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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