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composable-delivery

Snowfakery MCP Server

validate_recipe

Read-onlyIdempotent

Check Snowfakery recipe syntax and structure for errors. Validate YAML or file-based recipes before data generation.

Instructions

Validate a Snowfakery recipe without generating data.

Checks recipe syntax and structure. Returns validation errors if any. Use either recipe_path (file on disk) or recipe_text (inline YAML).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
optionsNoUser options to pass to the recipe
recipe_pathNoPath to a recipe file (relative to workspace root)
recipe_textNoRecipe YAML content as a string
strict_modeNoIf True, fail on undefined field references
plugin_optionsNoPlugin-specific options
schema_validateNoReserved for future JSON schema validation

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
validYes
errorsYes
Behavior4/5

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

Annotations already mark readOnlyHint=true and idempotentHint=true. Description adds that it returns validation errors, consistent with read-only 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?

Three sentences, front-loaded with purpose, no redundancy. Every sentence 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?

Moderate complexity (6 params, none required). Output schema exists (not shown). Description covers validation outcome but could explicitly state success condition. Still adequate.

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 coverage is 100% with descriptions for all 6 parameters. Description adds value by highlighting recipe_path and recipe_text as alternatives, but offers no new info on other parameters.

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?

Clearly states 'Validate a Snowfakery recipe without generating data', specifying verb (validate) and resource (recipe). Distinguishes from generating tools like run_recipe.

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?

Provides guidance on when to use recipe_path vs recipe_text. Lacks explicit exclusions or comparisons to siblings like analyze_recipe, but context is clear.

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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