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composable-delivery

Snowfakery MCP Server

list_examples

Read-onlyIdempotent

Browse Snowfakery example recipe files. Use a prefix to narrow down results, such as 'salesforce' for Salesforce examples.

Instructions

List available Snowfakery example recipe files.

Returns a list of example recipe filenames from the bundled examples. Use prefix to filter results (e.g., "salesforce" for Salesforce examples).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
prefixNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
examplesYes
Behavior4/5

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

Annotations already declare readOnly and idempotent. Description adds that it returns filenames from bundled examples with filtering, which is useful beyond annotations.

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?

Two clear, front-loaded sentences with no wasted words. Efficiently conveys purpose and key parameter behavior.

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 simple list tool with one optional param and an output schema, the description covers purpose, parameter, and return type. Minor omission: behavior when prefix is null (returns all), but inferred.

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?

Schema has 0% description coverage, so description must compensate. It explains the prefix parameter with an example, adding meaningful context.

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 clearly states the tool lists available Snowfakery example recipe files and returns filenames. It distinguishes from siblings like get_example (retrieve specific file) and list_capabilities.

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 hints at when to use the prefix filter but doesn't explicitly contrast with alternatives like get_example or state when not to use. However, sibling context makes usage 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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