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Blackwood State

by io.github.Blackwood-State
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Web page to Markdown

blackwood_webpage_markdown
Read-onlyIdempotent

Use when you need web page to markdown, url to markdown, to scrape a web page or extract content from a url for an LLM. Do not use for pages that need JavaScript to render, sit behind a login or paywall, or are not HTML (PDFs go to blackwood_pdf_extract). Returns JSON with the clean Markdown of a public web page (URL to Markdown, boilerplate stripped) plus its title, description, language, canonical URL and links for 0.01 USDC per call. Typical response time 2500 ms (p95). Category: Data.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "url": "<url>"
    },
    "name": "blackwood_webpage_markdown"
  }
}

Input Schema

NameRequiredDescriptionDefault
urlYesPublic http(s) URL of the web page to read, e.g. https://example.com/article
maxCharsNoMaximum length of the returned markdown (500-100000 characters, 50000 when omitted)
response_formatNoconcise (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

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedOutput schema / anyOf
      Previous value: -[
-  {
-    "additionalProperties": false,
-    "properties": {
-      "canonical": {
-        "type": [
-          "string",
-          "null"
-        ]
-      },
-      "description": {
-        "type": [
-          "string",
-          "null"
-        ]
-      },
-      "finalUrl": {
-        "type": "string"
-      },
-      "lang": {
-        "type": [
-          "string",
-          "null"
-        ]
-      },
-      "links": {
-        "items": {
-          "additionalProperties": false,
-          "properties": {
-            "href": {
-              "type": "string"
-            },
-            "text": {
-              "type": "string"
-            }
-          },
-          "required": [
-            "text",
-            "href"
-          ],
-          "type": "object"
-        },
-        "type": "array"
-      },
-      "markdown": {
-        "type": "string"
-      },
-      "status": {
-        "maximum": 9007199254740991,
-        "minimum": -9007199254740991,
-        "type": "integer"
-      },
-      "title": {
-        "type": [
-          "string",
-          "null"
-        ]
-      },
-      "truncated": {
-        "type": "boolean"
-      },
-      "url": {
-        "type": "string"
-      },
-      "wordCount": {
-        "maximum": 9007199254740991,
-        "minimum": -9007199254740991,
-        "type": "integer"
-      }
-    },
-    "required": [
-      "url",
-      "finalUrl",
-      "status",
-      "title",
-      "description",
-      "lang",
-      "canonical",
-      "markdown",
-      "links",
-      "wordCount",
-      "truncated"
-    ],
-    "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": {
+      "canonical": {
+        "type": [
+          "string",
+          "null"
+        ]
+      },
+      "description": {
+        "type": [
+          "string",
+          "null"
+        ]
+      },
+      "finalUrl": {
+        "type": "string"
+      },
+      "lang": {
+        "type": [
+          "string",
+          "null"
+        ]
+      },
+      "links": {
+        "items": {
+          "additionalProperties": false,
+          "properties": {
+            "href": {
+              "type": "string"
+            },
+            "text": {
+              "type": "string"
+            }
+          },
+          "required": [
+            "text",
+            "href"
+          ],
+          "type": "object"
+        },
+        "type": "array"
+      },
+      "markdown": {
+        "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"
+      },
+      "status": {
+        "maximum": 9007199254740991,
+        "minimum": -9007199254740991,
+        "type": "integer"
+      },
+      "title": {
+        "type": [
+          "string",
+          "null"
+        ]
+      },
+      "truncated": {
+        "type": "boolean"
+      },
+      "url": {
+        "type": "string"
+      },
+      "wordCount": {
+        "maximum": 9007199254740991,
+        "minimum": -9007199254740991,
+        "type": "integer"
+      }
+    },
+    "required": [
+      "url",
+      "finalUrl",
+      "status",
+      "title",
+      "description",
+      "lang",
+      "canonical",
+      "markdown",
+      "links",
+      "wordCount",
+      "truncated"
+    ],
+    "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"
+  }
+]
  2. Added

TDQS

A4.6/5.0
Behavior5/5

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

Annotations already declare readOnly/idempotent/openWorld/non-destructive, yet the description still adds cost (0.01 USDC per call), p95 latency (2500 ms), the content of the response (Markdown plus title, description, language, canonical URL, links), and the rendering/login constraints that annotations cannot express.

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-loaded with the use condition and exclusions, and every later sentence (exclusions, return shape, price, latency) carries information. The opening "web page to markdown, url to markdown" phrase is somewhat keyword-stuffed, which costs it a point.

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, open-world scraping tool the description covers selection rules, hard limits (no JS, no login/paywall, HTML only), cost, latency, and output shape. With an output schema present it does not need to enumerate return fields and doesn't need to.

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 coverage is 100% and all three parameters are documented in-schema, including the enum behavior of response_format and the 500-100000 range of maxChars. The description only re-echoes "public web page"/URL framing without adding syntax or format detail beyond the schema, so 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 (convert a public web page to clean Markdown) and explicitly names the sibling to use for the excluded case (PDFs go to blackwood_pdf_extract). An agent can distinguish it from blackwood_pdf_extract and the text/image tools without opening any schema.

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?

Gives both sides: "Use when you need web page to markdown ... for an LLM" and three explicit exclusions (JS-rendered pages, login/paywall, non-HTML) with a concrete alternative named for the last one. 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.

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