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Identify AI provenance

identify
Read-only

Inspect an image or video to report AI provenance signals: C2PA, IPTC, EXIF, TC260 metadata, visible AI labels, and supported invisible watermarks. Read-only.

Instructions

Report which AI provenance signals an image or video carries: metadata (C2PA, IPTC, EXIF, TC260), visible AI-generator labels, and supported local invisible-watermark decoders. Read-only. Video is detected by file suffix.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pathYesImage or video file to inspect.
check_visibleNoRun the pixel and visible-mark detectors. False reads metadata only.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so the description's 'Read-only' is redundant. However it adds real behavioral detail beyond annotations: the exact signal families probed and the operational constraint that 'Video is detected by file suffix' (i.e., detection is filename-based, not content-sniffed) — a meaningful limitation.

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?

Three short sentences; the core purpose and enumerated signals come first, followed by the read-only note and the video-suffix caveat. Every sentence carries information and none is padding.

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 inspection tool with no output schema, the description adequately conveys what will be reported (metadata schemes, visible labels, watermark decoders), which is close to a return-value summary. It stops short of describing the response shape (e.g., per-signal presence flags vs. decoded values), a minor remaining gap.

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 100%, so both path and check_visible are already documented in the schema, including check_visible's default-true semantics. The description adds no parameter-level detail beyond what the schema states, so the baseline 3 applies.

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?

States a specific verb (report) and resource (AI provenance signals) and enumerates exactly what is checked: C2PA, IPTC, EXIF, TC260 metadata, visible labels, and local invisible-watermark decoders. This is far more specific than the sibling names remove/batch, so an agent can distinguish it without opening a schema.

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?

Usage context is implied ('Read-only', inspection of an image or video) but there is no explicit when-to-use guidance, no statement of when to prefer batch, and no routing rule for remove. The agent must infer that this is the read/inspect counterpart to those siblings.

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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