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Pandough.app

list_recipes

Read-only

List the dough recipe styles plan_bake supports. Call this when a user names a style (Neapolitan, classica, focaccia, bread, baguette) so you pass the correct recipeSlug instead of guessing — and so you never confuse a style word like 'classica' with a flour whose name contains it.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, so the safety profile is covered. The description adds useful context about the purpose (returning correct recipeSlug values and preventing style/flour confusion) but does not disclose return format, ordering, or other behavioral details. This is a reasonable read-only lookup tool, so the added context earns a 3 but no higher.

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 focused sentence that front-loads the core action ('List the dough recipe styles plan_bake supports') before giving usage guidance. The extra clause about disambiguation is meaningful and not filler. Every word earns its place.

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?

For a no-parameter, read-only list tool, the description gives enough context: what the tool returns conceptually (recipe styles and slugs) and when to use it. There is no output schema, so a slightly more explicit statement of return format would improve completeness, but the current wording is sufficient for an agent to call it correctly.

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 has zero parameters, so the baseline is 4. The description does not need to explain parameter semantics, and the schema already covers everything by having no properties. No deduction 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 uses a specific verb ('List') and names a concrete resource: the dough recipe styles that plan_bake supports. It clearly distinguishes this from flour/oven lookups by explaining the tool is about recipeSlug-to-style mapping, so an agent can tell it apart from siblings like search_flours without ambiguity.

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

Usage Guidelines4/5

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

The description explicitly says when to call the tool: when a user names a style such as Neapolitan, classica, focaccia, bread, or baguette. It gives clear context and even warns against confusing style words with flour names, but it does not explicitly state when not to use it or name a specific alternative, so it stops short of a 5.

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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