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runwhen-contrib

RunWhen Platform MCP

list_discovery_platforms

Lists supported discovery platforms and default render settings to determine scope for code collection generation.

Instructions

List supported generation-rule platforms and default render settings.

Skills:

  • runwhen-skill://commit-to-codecollection

  • runwhen-skill://author-generation-rules

Call this before render_codecollection_skill when the user has not confirmed whether they want workspace-scoped output (runwhen) or per-resource cloud/Kubernetes discovery (kubernetes, azure, aws, gcp). Ask the user to pick a platform and scope, then look up valid resource_types with list_indexed_resource_types(search=...). All catalog data is bundled offline — no docs.runwhen.com access required.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

No annotations provided, but the description discloses that all catalog data is bundled offline (no external access needed). It also mentions associated skills. Implicitly a read-only list operation, so no destructive behavior is expected.

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 paragraphs: first concise purpose, second detailed workflow. Every sentence adds value. No fluff or redundancy.

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?

Given 0 parameters and an output schema, the description fully explains the tool's purpose, prerequisites, and post-usage steps. It covers the workflow context without gaps.

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?

Input schema has 0 parameters (100% coverage by default). Description adds meaning by explaining the output content and how to use the results, justifying a score above baseline.

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 it lists supported generation-rule platforms and default render settings. It uses a specific verb ('List') and resource, and distinguishes itself from siblings by being a prerequisite to render_codecollection_skill.

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

Usage Guidelines5/5

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

Explicitly tells when to use this tool: before render_codecollection_skill when user hasn't confirmed scope. Provides detailed next steps (ask user, then use list_indexed_resource_types). No alternatives mentioned 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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