Blackwood State

Text to image

blackwood_image_generate

Read-onlyIdempotent

Use when you need image generation or text to image from a prompt for illustrations or mockups. Do not use for image edits, specific sizes, photos of real people or more than one image per call. Returns JSON with a 1024x1024 JPEG generated from a text prompt by FLUX.1 schnell on Workers AI, as base64 for 0.03 USDC per call. Result in the same call (about 10000 ms); a status tool polls for free if it takes longer. Category: Media.

Input Schema

TableJSON Schema

Name	Required	Description
`steps`	No	Diffusion steps (1-8, 4 when omitted); more steps, more detail
`prompt`	Yes	What the image should show, in English, e.g. a lighthouse on a cliff at sunset, watercolor
`response_format`	No	concise (the default when omitted) keeps the JSON short: long fields such as base64 images or audio come back as separate image/audio content blocks and other long strings are cut with a marker; detailed returns the full JSON

Output Schema

TableJSON Schema

Name	Required	Description	Default
No arguments

Schema Changelog

Changes observed during successful MCP inspections.

Changed1 schema field changedOct 17, 2026

changedOutput schema / anyOf

Previous value: -[
-  {
-    "additionalProperties": false,
-    "properties": {
-      "done": {
-        "type": "boolean"
-      },
-      "error": {
-        "additionalProperties": false,
-        "properties": {
-          "message": {
-            "type": "string"
-          },
-          "name": {
-            "type": "string"
-          }
-        },
-        "required": [
-          "name",
-          "message"
-        ],
-        "type": "object"
-      },
-      "jobId": {
-        "type": "string"
-      },
-      "output": {
-        "additionalProperties": false,
-        "properties": {
-          "imageBase64": {
-            "type": "string"
-          },
-          "mimeType": {
-            "const": "image/jpeg",
-            "type": "string"
-          },
-          "model": {
-            "type": "string"
-          },
-          "prompt": {
-            "type": "string"
-          },
-          "steps": {
-            "maximum": 9007199254740991,
-            "minimum": -9007199254740991,
-            "type": "integer"
-          }
-        },
-        "required": [
-          "model",
-          "prompt",
-          "steps",
-          "mimeType",
-          "imageBase64"
-        ],
-        "type": "object"
-      },
-      "pollUrl": {
-        "type": "string"
-      },
-      "status": {
-        "enum": [
-          "queued",
-          "running",
-          "paused",
-          "errored",
-          "terminated",
-          "complete",
-          "waiting",
-          "waitingForPause",
-          "rollingBack",
-          "unknown"
-        ],
-        "type": "string"
-      }
-    },
-    "required": [
-      "jobId",
-      "status",
-      "done",
-      "pollUrl"
-    ],
-    "type": "object"
-  },
-  {
-    "description": "x402 PaymentRequired (returned with isError when payment is needed)",
-    "properties": {
-      "accepts": {
-        "items": {
-          "type": "object"
-        },
-        "type": "array"
-      },
-      "error": {
-        "type": "string"
-      },
-      "extensions": {
-        "type": "object"
-      },
-      "resource": {
-        "type": "object"
-      },
-      "x402Version": {
-        "type": "integer"
-      }
-    },
-    "required": [
-      "x402Version",
-      "accepts"
-    ],
-    "type": "object"
-  }
-]New value: +[
+  {
+    "additionalProperties": false,
+    "properties": {
+      "done": {
+        "type": "boolean"
+      },
+      "error": {
+        "additionalProperties": false,
+        "properties": {
+          "message": {
+            "type": "string"
+          },
+          "name": {
+            "type": "string"
+          }
+        },
+        "required": [
+          "name",
+          "message"
+        ],
+        "type": "object"
+      },
+      "jobId": {
+        "type": "string"
+      },
+      "next": {
+        "additionalProperties": false,
+        "description": "Suggested next paid call in the same family (call it in a loop when the task continues)",
+        "properties": {
+          "method": {
+            "enum": [
+              "GET",
+              "POST"
+            ],
+            "type": "string"
+          },
+          "sample": {
+            "description": "Free fixed sample of the whole family",
+            "type": "string"
+          },
+          "service": {
+            "description": "Service id of the suggested next paid call",
+            "type": "string"
+          },
+          "tool": {
+            "description": "MCP tool name of the same call",
+            "type": "string"
+          },
+          "url": {
+            "description": "Paid route of the next call",
+            "type": "string"
+          },
+          "useWhen": {
+            "description": "When the next call is the right one",
+            "type": "string"
+          }
+        },
+        "required": [
+          "service",
+          "tool",
+          "method",
+          "url",
+          "useWhen",
+          "sample"
+        ],
+        "type": "object"
+      },
+      "output": {
+        "additionalProperties": false,
+        "properties": {
+          "imageBase64": {
+            "type": "string"
+          },
+          "mimeType": {
+            "const": "image/jpeg",
+            "type": "string"
+          },
+          "model": {
+            "type": "string"
+          },
+          "prompt": {
+            "type": "string"
+          },
+          "steps": {
+            "maximum": 9007199254740991,
+            "minimum": -9007199254740991,
+            "type": "integer"
+          }
+        },
+        "required": [
+          "model",
+          "prompt",
+          "steps",
+          "mimeType",
+          "imageBase64"
+        ],
+        "type": "object"
+      },
+      "pollUrl": {
+        "type": "string"
+      },
+      "status": {
+        "enum": [
+          "queued",
+          "running",
+          "paused",
+          "errored",
+          "terminated",
+          "complete",
+          "waiting",
+          "waitingForPause",
+          "rollingBack",
+          "unknown"
+        ],
+        "type": "string"
+      }
+    },
+    "required": [
+      "jobId",
+      "status",
+      "done",
+      "pollUrl"
+    ],
+    "type": "object"
+  },
+  {
+    "description": "x402 PaymentRequired (returned with isError when payment is needed)",
+    "properties": {
+      "accepts": {
+        "items": {
+          "type": "object"
+        },
+        "type": "array"
+      },
+      "error": {
+        "type": "string"
+      },
+      "extensions": {
+        "type": "object"
+      },
+      "resource": {
+        "type": "object"
+      },
+      "x402Version": {
+        "type": "integer"
+      }
+    },
+    "required": [
+      "x402Version",
+      "accepts"
+    ],
+    "type": "object"
+  }
+]

AddedOct 17, 2026

TDQS

A4.6/5.0

Behavior5/5

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

Goes well beyond the annotations (readOnlyHint/idempotent/openWorld/non-destructive) by disclosing fixed 1024x1024 output, wire format (JSON with base64), model, per-call price of 0.03 USDC, latency of about 10000 ms, and the free polling escape hatch. This is exactly the extra behavioral context annotations cannot carry.

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?

Front-loads usage and exclusions before the technical details, and every sentence carries information (cost, latency, format, fallback). Slightly overpacked with the redundant 'image generation or text to image' restatement and a run-on final sentence, but no filler.

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?

For a paid generation tool with an output schema, the description covers usage boundaries, cost, latency, return format, and the async fallback path. An agent has everything needed to decide whether to call it and what to expect back.

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 already 100%, so steps, prompt, and response_format are fully documented in the schema. The description adds only the fixed size and single-image constraint, which relate to absent parameters rather than clarifying the three present ones. 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+resource (generate an image from a text prompt) with the intended use case (illustrations, mockups) and explicitly contrasts with image editing. It also pegs the exact output (1024x1024 JPEG via FLUX.1 schnell) and names the status sibling so the tool is distinguishable from the other 29 tools.

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

Usage Guidelines5/5

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

Provides explicit when-to-use (illustrations/mockups) and when-not-to-use (image edits, specific sizes, photos of real people, more than one image per call), plus a routing rule to the free status tool if the call runs long. Nothing is left to inference.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

All Blackwood State tools Inspect

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