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prasadabhishek

photographi-mcp

photographi_cull_photographs

Automatically moves or tags low-quality photos below a threshold to a culled_photos subfolder, keeping high-quality images in the original folder. Supports batch processing with pagination.

Instructions

Culls low-quality images by moving them to a 'culled_photos' subfolder. Images ABOVE the threshold (default 0.4) stay in the original folder. Images BELOW the threshold are moved to culled_photos/. Processes 100 images per call by default. Use 'limit' and 'offset' for pagination. Mode options: 'move' (default), 'xmp' (sidecar tagging), or 'both'.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
folder_pathYesAbsolute path to folder.
thresholdNoOverall score threshold (0.0-1.0). Images below this are culled.
modeNoAction to perform: 'move' (files to subfolder), 'xmp' (sidecar tags only), or 'both'.move
enable_subject_detectionNo
limitNoNumber of images to process in this batch.
offsetNoPagination offset.
fast_modeNoDefaults to True (4-8x faster). Set to False for full-resolution 'Forensic Precision' mode (much slower on 40MP+ files).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

With no annotations, the description discloses key behaviors: moving files, threshold logic, batch size, mode options, and fast mode. It is transparent about what happens to images above/below threshold, though it does not mention that moving is potentially destructive.

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 concise at 5 sentences, front-loaded with the main action, and includes essential details without redundancy.

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 7 parameters and an output schema, the description covers the core functionality, modes, pagination, and fast mode. It does not explain the subject_detection parameter but the schema covers it. Overall, it is nearly complete.

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 coverage is high (86%), so baseline is 3. The description adds marginal value by explaining defaults and behavior (e.g., threshold logic, fast mode speed), but most parameters are already described in the schema.

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 it 'Culls low-quality images by moving them to a culled_photos subfolder', specifying the verb (cull) and resource (images). It differentiates from siblings like photographi_threshold_cull by detailing modes and threshold behavior.

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?

The description explains when to use (culling low-quality images) and provides context on default behavior, modes, and pagination. However, it does not explicitly compare to sibling tools or state when not to use.

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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