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lightroom_list_commands

Discover available Lightroom Classic commands to control photo editing and catalog management through AI automation.

Instructions

List command names currently exposed by the Lightroom plugin.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Implementation Reference

  • The tool handler lightroom_list_commands calls the system.list_commands method via the internal _call helper.
    async def lightroom_list_commands() -> dict[str, Any]:
        """List command names currently exposed by the Lightroom plugin."""
        return await _call("system.list_commands")
Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. While it indicates this is a listing operation (implying read-only), it doesn't specify whether the list is static or dynamic, if there are permissions required, rate limits, or what format the output takes. The description provides minimal behavioral context beyond the basic operation.

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 communicates the core purpose without any wasted words. It's appropriately sized for a simple listing tool with no parameters.

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?

Given the tool's simplicity (0 parameters, output schema exists), the description is reasonably complete. However, with no annotations and a read operation, it could benefit from clarifying whether this lists all commands or only certain types, and any limitations. The existence of an output schema reduces the need to describe return values.

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?

With 0 parameters and 100% schema description coverage, the baseline is 4. The description appropriately doesn't discuss parameters since none exist, and the schema already fully documents this. No additional parameter information is needed or provided.

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 specific action ('List command names') and target resource ('currently exposed by the Lightroom plugin'), distinguishing it from all sibling tools which perform various Lightroom operations rather than listing available commands.

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?

The description implies usage context (discovering available commands) but provides no explicit guidance on when to use this tool versus alternatives or any prerequisites. It doesn't mention whether this should be used for initial discovery, debugging, or dynamic command checking.

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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