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Honeyfield Marketing MCP

Google Ads: Upload image asset

ads_upload_image_asset

Bild von einer öffentlichen URL als wiederverwendbares Image-Asset anlegen (PNG/JPG, max. 5 MB). name muss kontoweit eindeutig sein. Mindestgrößen für PMax: Querformat 1,91:1 mind. 600×314 (MARKETING_IMAGE), Quadrat 1:1 mind. 300×300 (SQUARE_MARKETING_IMAGE), Logo 1:1 mind. 128×128 (LOGO) — werden hier nicht geprüft; zu kleine Bilder scheitern erst beim Verknüpfen. Die URL muss http(s) und öffentlich erreichbar sein (interne Hosts werden abgelehnt). Antwort: asset_id; Download-Fehler als {error, message}. workspace: Slug des Kunden-Workspace (optional bei nur einem Workspace).

Input Schema

NameRequiredDescriptionDefault
nameYes
image_urlYes
workspaceNo

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.5/5.0
Behavior5/5

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

Beyond the annotations, it discloses important behavior: the URL must be public HTTP(S), internal hosts are rejected, dimensions are not validated at upload time, and too-small images fail only during linking. It also states the response shape and error behavior, which is valuable for a mutation tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is front-loaded with the core action and then adds constraints in a logical order. It is somewhat dense and long, but nearly every detail serves correct invocation, so there is little wasted content.

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?

It covers required parameters, optional workspace behavior, validation limits, URL restrictions, error responses, and downstream linking implications. With an output schema present, the description is complete enough for an agent to invoke the tool correctly.

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

Parameters5/5

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

With 0% schema description coverage, the description fully compensates by explaining all three parameters: image_url requires a public HTTP(S) URL, name must be account-wide unique, and workspace is an optional slug when only one workspace exists. It also adds format, size, and PMax dimension constraints beyond the schema.

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 states a specific verb and resource: create a reusable image asset from a public URL, with formats and size limits. It clearly identifies this as the image-upload tool, though it does not explicitly name sibling alternatives such as text or video asset creation.

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

Usage Guidelines4/5

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

It provides clear usage context by specifying image formats, maximum size, unique naming, public URL requirements, and PMax minimum dimensions. It does not explicitly say when to use this tool instead of related asset-creation or linking tools, so alternatives are left implicit.

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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