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Systra Tools

get_recipe

Returns a page recipe: the sequence of sections with the purpose of each one and the complete source of every section. Optionally in the look of a brand style.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesRecipe slug from list_recipes, e.g. 'saas-landing'.
styleNoOptional style slug from list_styles.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • changedInput schema / properties / name / description
      Previous value: -"Rezept-Slug aus list_recipes, z. B. 'saas-landing'."New value: +"Recipe slug from list_recipes, e.g. 'saas-landing'."
    • changedInput schema / properties / style / description
      Previous value: -"Optionaler Style-Slug aus list_styles."New value: +"Optional style slug from list_styles."
  2. First observed

TDQS

A3.5/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It does disclose the return shape (ordered sections, purpose, complete source), which is genuinely useful behavioral context, but it says nothing about read-only safety, authentication needs, or pagination/size limits for what could be a large payload.

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 sentence that front-loads the core action and elaborates only on the returned contents. It is slightly dense in the middle clause but every element informs the agent; no filler.

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?

With no output schema, the description usefully enumerates what is returned, and parameters are fully covered by the schema. What is missing is sibling differentiation and any behavioral context (auth, size), which for a simple read tool is a modest rather than critical gap.

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%, so both parameters are already documented, making 3 the baseline. The phrase 'Optionally in the look of a brand style' restates the optional nature of the style parameter that the schema already conveys, adding little beyond it.

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?

States a specific verb ('Returns') and resource ('page recipe') and details what the payload contains (section sequence, per-section purpose, full source). However, it never distinguishes itself from siblings like get_component, get_component_styled, or get_style, so an agent can't fully route between them from this text alone.

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?

Usage is only implied by the schema pointer to 'Recipe slug from list_recipes', which hints at a list-then-fetch flow. There is no explicit when-to-use vs get_component/get_style guidance and no stated prerequisites or exclusions.

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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