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list_collections

Retrieve all collections and collection sets from your Lightroom Classic catalog to organize and manage your photo library efficiently.

Instructions

List all collections and collection sets in the catalog.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Implementation Reference

  • The handler for the 'list_collections' tool, which wraps a call to the Lightroom bridge.
    async def list_collections() -> dict[str, Any]:
        """List all collections and collection sets in the catalog."""
        return await _call("catalog.list_collections")
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states what the tool does but fails to add context such as whether it's read-only, safe, has rate limits, or what the output format entails. This leaves significant gaps for an AI agent to understand its behavior beyond the basic action.

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?

The description is a single, efficient sentence that directly states the tool's purpose without any fluff. It is front-loaded and wastes no words, making it highly concise and well-structured.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's simplicity (0 parameters, no annotations, but has an output schema), the description is adequate as a minimum viable explanation. However, it lacks behavioral context that would be helpful for an AI agent, such as safety or output details, which holds it back from a higher score.

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?

The tool has 0 parameters, and the schema description coverage is 100%, so there is no need for parameter details in the description. The description appropriately avoids redundant information, earning a baseline score of 4 for not adding unnecessary content.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb ('List') and resource ('all collections and collection sets in the catalog'), making the purpose specific and understandable. However, it does not explicitly differentiate from sibling tools like 'create_collection' or 'delete_collection' beyond the inherent action difference, which is why it's not a 5.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives. It lacks context such as prerequisites, when it's appropriate (e.g., for browsing vs. filtering), or comparisons to other listing tools like 'list_snapshots' or 'list_develop_presets'.

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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