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GeiserX

spinnaker-mcp

by GeiserX

list_clusters

Read-onlyIdempotent

List all cluster names for a Spinnaker application, grouped by account, to discover clusters before inspecting a specific one. Returns account-to-cluster JSON mapping.

Instructions

List all cluster names for a Spinnaker application, grouped by account. Use this to discover clusters before drilling into a specific one with get_cluster. Returns JSON object mapping account names to arrays of cluster names.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
applicationYesApplication name as registered in Spinnaker

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false, so the safety profile is covered. The description adds genuinely useful behavioral context beyond that: the grouping by account and the JSON-shape return (account names to arrays of cluster names), which matters because there is no output schema.

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 tight sentences with no waste: purpose and scope first, usage routing second, return shape last. Every sentence earns its place and the key constraint is front-loaded.

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?

For a one-parameter read tool, the definition is complete: annotations cover safety/idempotency, the description covers grouping and return shape in lieu of an output schema, and the routing to get_cluster is stated. Nothing an agent needs to call it correctly is missing.

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% for the single 'application' parameter, so the schema already carries the semantics. The description confirms the application-scoping but adds no format or syntax detail beyond what the schema provides; baseline 3 applies.

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?

States a specific verb (list), resource (cluster names), and scope (for a Spinnaker application, grouped by account), and explicitly distinguishes itself from the sibling get_cluster. An agent can tell it apart from get_cluster and list_server_groups without opening a schema.

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?

Names the alternative explicitly (get_cluster) and the sequencing condition (discover clusters first, then drill into a specific one). Clear context, though it never states a when-not or any exclusion, so it falls short of the full 5.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.