Skip to main content
Glama
prasadabhishek

photographi-mcp

photographi_analyze_photo

Analyze a single photo for technical quality, including sharpness, exposure, and noise. Get an overall score and detailed per-metric breakdowns.

Instructions

Analyzes a single photo for technical quality (sharpness, exposure, noise, etc.). Returns overall score, judgement, and per-metric breakdowns. Use this for detailed inspection of individual images. For batch analysis, use photographi_analyze_folder.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
image_pathYesAbsolute path to RAW/JPEG/TIFF.
metricsNoSpecific metrics (sharpness, exposure, noise, focus, color, dynamicRange, composition).
enable_subject_detectionNo
model_sizeNoYOLO model size.nano
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?

No annotations are provided, so the description carries full responsibility for behavioral disclosure. It describes the fast_mode parameter's trade-off between speed and forensic precision, which is a key behavioral aspect. However, it does not mention any other side effects (e.g., file modification) or prerequisites, though the tool appears to be read-only. The description is fairly transparent but could be more explicit about non-destructive behavior.

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 two sentences long. The first covers purpose and output, the second provides usage guidance and sibling differentiation. Every sentence is essential; no unnecessary words.

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

Completeness5/5

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

Given the detailed input schema (5 parameters with descriptions, enums, defaults) and the presence of an output schema, the description is complete. It explains the tool's purpose, what it returns, and when to use it versus the sibling tool. No additional information is needed for successful tool invocation.

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 high (80%), so baseline is 3. The description adds no additional parameter-level detail beyond what the schema already provides (e.g., metrics list, fast_mode behavior). It does summarize the overall output, which is helpful but not specific to parameter semantics. Thus, the description adds minimal value beyond 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 the tool analyzes a single photo for technical quality metrics like sharpness, exposure, noise, etc., and returns an overall score, judgement, and per-metric breakdowns. It distinguishes itself from the sibling batch tool 'photographi_analyze_folder' by explicitly noting it is for individual images.

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

Usage Guidelines5/5

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

The description explicitly says 'Use this for detailed inspection of individual images' and provides the alternative 'For batch analysis, use photographi_analyze_folder.' This gives clear when-to-use and when-not-to-use guidance.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/prasadabhishek/photographi-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server