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list_presets

List every preset you can use by name: the built-in templates (ai_labs, weekday_meals, cli_only, daily) plus any you've saved yourself, each with a plain-English summary of its rules.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
messageYes
presetsNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.3/5.0
Behavior4/5

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

With no annotations, the description carries the behavioral transparency burden. It clearly reveals what the tool returns: preset names and a plain-English summary of rules, and it discloses coverage including built-in and user-saved presets. Although it doesn't explicitly say 'read-only', the verb 'List' strongly implies a non-mutating operation.

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 a single, efficient sentence that front-loads the core action and resource. It includes useful examples in parentheses and adds the summary detail without unnecessary filler.

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

Completeness5/5

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

For a no-parameter listing tool with an output schema, the description is complete for invocation purposes. It tells the agent exactly what to expect in the response, and there are no required arguments or edge-case parameters left unexplained.

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 adds no parameter-specific meaning because there are no parameters to document. The input schema is empty and the description accurately reflects that, so no information is missing.

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 uses a specific verb ('List') with a clear resource ('presets') and even enumerates the built-in templates, distinguishing this from related tools like get_card_preset or save_preset. It clearly communicates the scope: all usable presets, built-in plus user-saved, with a plain-English summary.

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

Usage Guidelines3/5

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

The description implies its use case: when you need an overview of available presets by name and summary. However, it does not explicitly state when not to use it or point to alternatives such as get_card_preset, save_preset, or delete_preset, leaving the choice of tool partly to inference.

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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