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image exif

image_exif
Read-only

Read photo metadata: camera, lens, settings, date taken, editing software, size and GPS location (with a map link), plus a privacy warning when the photo reveals where it was taken. Useful for verification and before publishing photos. Costs $0.002 USDC per call (x402).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
image_urlNo
image_base64No

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already declare readOnlyHint and openWorldHint, but the description adds real behavioral context the annotations can't: the tool emits a privacy warning when GPS is present, GPS comes with a map link, and each call costs $0.002 USDC via x402. The pay-per-call cost is especially valuable for an agent. No output schema exists, yet return contents are still summarized.

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 field list and purpose lead, the practical use case follows, and the cost caveat is placed last. Every clause adds information; there is no filler or restatement of the tool name.

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?

For a read-only extraction tool with no output schema, the description covers what is returned, what the privacy-relevant output looks like, and the pricing model. The one meaningful gap is the input contract: it never says how to pass the image (URL vs base64) or that at least one input is needed.

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% and the description says nothing about how the image is supplied. The two parameter names (image_url, image_base64) are largely self-explanatory, so the practical risk is limited, but the description never clarifies whether one is preferred, whether both are mutually exclusive, or why required count is 0 — details the schema leaves entirely blank.

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?

States a specific verb and resource (read photo metadata) and enumerates the returned fields — camera, lens, settings, date taken, editing software, size, GPS — which implicitly separates it from content-oriented siblings like image_describe and image_classify. It never names a sibling or explicitly contrasts its scope, so it falls short of the top mark.

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

Usage Guidelines3/5

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

"Useful for verification and before publishing photos" implies the context of use but gives no explicit when-to-use rule, prerequisites, or alternatives (e.g. use image_describe for content, this for embedded metadata). Usage is inferable, not stated.

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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