Skip to main content
Glama

read-iptc

Read IPTC metadata from an image to extract embedded details like captions, keywords, and copyright. Handles files, URLs, base64, and buffer inputs.

Instructions

Read IPTC metadata from an image

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
imageYes
Behavior2/5

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

No annotations exist, so the description carries full responsibility for behavioral disclosure. It only says 'read,' implying a read-only operation, but provides no details about how different input kinds (URL, buffer, path) are handled, potential network requirements, or failure behaviors.

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, direct sentence with no redundant information. It is appropriately front-loaded and concise, containing only the core message.

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

Completeness2/5

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

The tool lacks an output schema and lives among many similar metadata readers. The description does not specify return format, behavior when no IPTC data exists, or how the image input is consumed. This under-specification leaves critical gaps for an agent selecting and invoking the tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%—the description adds no meaning to the 'image' parameter. While the schema itself is structurally clear with named sub-fields (url, data, path, buffer) and a kind enum, the description does not help an agent understand the intended input semantics. For low coverage, compensation is required but absent.

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's function with a specific verb and resource: 'Read IPTC metadata from an image.' This distinguishes it from sibling tools like read-exif and read-xmp, which target other metadata formats. No ambiguity exists.

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 such as read-metadata or read-exif. With a large set of sibling metadata readers, explicit usage context is essential but entirely missing.

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/myworkgmail001-sketch/exif-mcp'

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