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find_photo_by_path

Locate a specific photo in your Lightroom Classic catalog using its absolute file path to access and manage images directly.

Instructions

Find one Lightroom catalog photo by absolute file path.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pathYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Implementation Reference

  • The handler for the find_photo_by_path tool, which calls the underlying catalog API.
    @mcp.tool()
    async def find_photo_by_path(path: str) -> dict[str, Any]:
        """Find one Lightroom catalog photo by absolute file path."""
        if not path:
            raise ValueError("path is required")
        return await _call("catalog.find_photo_by_path", {"path": path})
Behavior2/5

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

No annotations are provided, so the description carries full burden. It states it 'Finds' a photo, implying a read-only operation, but doesn't disclose behavioral traits like error handling (e.g., if path doesn't exist), permissions needed, or whether it returns metadata or full photo data. The description is minimal and lacks operational context.

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 with zero waste—front-loaded and directly states the tool's purpose. Every word earns its place, making it easy to parse quickly.

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 has an output schema (which handles return values), low parameter count (1), and no annotations, the description is minimally complete. It covers the basic purpose and parameter intent but lacks usage guidelines and behavioral details, making it adequate but with clear gaps for effective agent operation.

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 0%, so the description must compensate. It adds meaning by specifying 'absolute file path' for the 'path' parameter, clarifying the required format beyond the schema's generic string type. However, it doesn't detail path syntax (e.g., OS-specific) or examples, leaving some gaps.

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 'Find' and resource 'one Lightroom catalog photo', specifying it's by 'absolute file path'. It distinguishes from siblings like 'get_active_photo' or 'get_selected_photos' by focusing on path-based lookup, though it doesn't explicitly name alternatives.

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?

No guidance is provided on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., needing an existing catalog), exclusions, or compare to other photo-retrieval tools like 'get_active_photo', leaving the agent to infer usage context.

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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