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wordpress_generate_and_upload_image

Generate an image using AI (DALL-E, Stability, or Flux) and upload it directly to your WordPress media library, with options to attach to a post or set as featured image.

Instructions

[UNIFIED] Generate an image with an AI provider (OpenAI DALL-E, Stability, or Replicate Flux) and upload it to the WordPress media library in one call. Optionally attach to a post or set as featured image. Uses the caller's stored provider API key; falls back to server env vars if no per-user key is set.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
siteYes
sizeNo1024x1024
modelNo
titleNo
promptYes
captionNo
qualityNostandard
alt_textNo
filenameNo
providerYes
convert_toNo
set_featuredNo
skip_optimizeNo
attach_to_postNo
negative_promptNo
Behavior3/5

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

No annotations provided, so description must cover behavior. It mentions generation and upload, API key fallback, but lacks details on failure modes, side effects, or operational constraints like rate limits.

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 with two sentences, front-loading the core purpose and adding authentication detail. No unnecessary information.

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?

Given the complexity (15 parameters, no output schema), the description lacks completeness. It doesn't specify return values, required parameter details, or error handling, making it insufficient for reliable invocation.

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

Parameters1/5

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

With 15 parameters and 0% schema description coverage, the description provides no parameter-level details. Parameters like 'provider', 'model', 'quality', 'convert_to', etc. are not explained, leaving the agent unable to use them correctly.

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 specifies the tool generates an image using AI providers (DALL-E, Stability, Replicate Flux) and uploads it to WordPress media library, with optional attachment to post or featured image. This distinguishes it from sibling upload-only tools.

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?

The description explains authentication fallback but does not explicitly state when to use this tool versus alternatives like separate generation and upload tools. Usage context is implied but not fully defined.

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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