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Glama
satyamkumar420

AI Image Metadata Cleaner

inject_camera_profile

Add realistic camera EXIF data (iPhone, Sony, Canon, Samsung) to a clean JPEG so it appears captured by a real camera.

Instructions

Injects realistic camera EXIF (iPhone, Sony, Canon, Samsung) into a clean JPEG.

Args: image_path: Path to the JPEG image file. profile_name: Camera profile id ('iphone_15_pro', 'sony_a7iv', 'samsung_s24_ultra', 'canon_r6'). output_path: Optional destination file path.

Returns: Confirmation with injected hardware parameters.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
image_pathYes
output_pathNo
profile_nameNoiphone_15_pro

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

B3.2/5.0
Behavior2/5

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

With no annotations provided, the description must disclose behavioral implications itself. It states the operation modifies a JPEG by injecting EXIF and returns confirmation, but it does not clarify whether the original file is overwritten, whether output_path defaults to in-place modification, or what happens if the input is not a 'clean JPEG'.

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, front-loads the core purpose in the first sentence, and organizes parameter details and return behavior clearly under Args and Returns. Every sentence earns its place without padding.

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?

The description is adequate for a simple three-parameter tool and covers parameters plus return type, but it leaves meaningful gaps in usage context and behavioral caveats. It does not mention when to use this tool relative to stripping/sanitizing siblings, nor does it explain output_path omission semantics, which is important for a mutation tool with no annotations.

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?

Although schema description coverage is 0%, the description compensates well by naming all three parameters, explaining image_path as 'Path to the JPEG image file', listing valid profile_name values, and marking output_path as optional. It adds practical meaning beyond the bare schema, though it could clarify the default behavior when output_path is null.

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 a specific action ('injects realistic camera EXIF') and a resource ('clean JPEG'), naming example camera brands. It is distinguishable from sibling tools like inspect_image_metadata or strip_metadata_only, though it does not explicitly contrast itself with them.

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 choose this tool over its siblings, such as anti_ai_sanitize or batch_sanitize_directory. It does not mention prerequisites, exclusions, or typical workflows like post-stripping metadata restoration.

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