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joiva_list_meals

Read-onlyIdempotent

The signed-in user's saved meals (reusable recipes): name, components with grams, per-portion macros, times logged.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "joiva_list_meals"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.3/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and a closed world, so the safety profile is fully covered elsewhere. The description adds useful behavioral context by specifying what the payload contains (name, components with grams, per-portion macros, times logged), but says nothing about ordering, pagination, or what happens when the user has no saved meals.

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?

A single, front-loaded fragment with no filler; the scope comes first and the returned fields follow. It is efficient, though the missing verb and lack of a proper clause keep it from being a model of structure.

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?

With no output schema and no parameters, the description carries the full burden of explaining the response, and it lists the main fields reasonably. It omits ordering, result limits, and empty-state behavior, which an agent would want before relying on the output.

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 tool takes zero parameters, so the baseline is 4. The description does add a small clarification by scoping results to 'the signed-in user', making clear no user identifier is required.

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

Purpose4/5

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

The description names a specific resource (the signed-in user's saved, reusable meals) and even enumerates the fields returned, so an agent can tell this is a read of saved recipe templates rather than logged entries. It stops short of explicitly differentiating from near siblings such as joiva_list_frequent_foods or joiva_list_planned.

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 when-to-use sentence, no stated prerequisites, and no named alternative. The only implicit signal is the parenthetical '(reusable recipes)', which hints this is the discovery step before logging a saved meal, but nothing states that or excludes competing calls.

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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