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aidesignblueprint

AI Design Blueprint Doctrine

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clusters.list

Read-onlyIdempotent

List all principle clusters from the AI Design Blueprint Doctrine, returning each cluster's stable slug and linked principle title for easy navigation and reference.

Instructions

List principle clusters with their stable slugs and linked principle titles.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

Annotations already provide readOnlyHint and idempotentHint, so the description's contribution to behavioral transparency is moderate. It adds that slugs are stable, which implies consistency, but does not mention any potential limitations like pagination or ordering.

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?

Single sentence, no wasted words, front-loaded. Every word 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?

For a simple, parameterless tool with complete annotations, the description is mostly sufficient. However, it could mention sorting or absence of pagination. Overall, it provides the core context needed.

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?

Tool has zero parameters, so baseline is 4. The description does not need to add parameter-specific details and instead clarifies the output, which indirectly reinforces that no input is needed.

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 the tool lists principle clusters and specifies the output fields (stable slugs and linked principle titles). Distinguishes from sibling `clusters.get` which likely retrieves a single cluster.

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?

No explicit guidance on when to use this tool versus alternatives like `clusters.get` or other listing tools. The description implies it's for listing all clusters, but lacks exclusion criteria or context about when to prefer it over similar tools.

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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