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mysleekdesigns

CrawlForge MCP Server

extract_content

Read-onlyIdempotent

Extract the readable main content from a web page, stripping ads, navigation, and boilerplate to return clean markdown for RAG ingestion, summarization, or LLM context.

Instructions

Use this for the readable body of an article-style page with ads, nav, footers and boilerplate removed - for RAG ingestion, summarisation, or LLM context. Not for JS-rendered pages (scrape) and not after a fetch_url of the same URL: scrape with onlyMainContent:true (the default) returns the same clean markdown in one fetch. Cost: 2 credits. Example: extract_content({url: "https://blog.example.com/post-title"})

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesThe URL to extract content from
optionsNoAdditional extraction options
redact_piiNoRedact personal data from the text this call returns, before it reaches your context window. true means the free regex pass over EMAIL, PHONE, FINANCIAL and SECRET. The result carries redaction:{entities,count}. Default: off
user_agentNoOverride the outbound User-Agent. CrawlForge identifies itself honestly by default; use this only for targets you have your own agreement with.
respect_robotsNoRespect the target site's robots.txt (default: true). Setting this to false is honoured, returns a warning in the response, and is recorded against your API key — it is your decision, not a silent default.
max_inline_charsNoLargest result to return inline, in characters of its JSON. Over it, the call returns a preview plus a result_handle for read_result instead of the whole result (default 40,000; env CRAWLFORGE_MAX_INLINE_CHARS)

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Changed4 schema fields changedv6.0.0
    • removedInput schema / additionalProperties
      Removed value: -false
    • addedInput schema / properties / max_inline_chars
      Added value: +{
      +  "description": "Largest result to return inline, in characters of its JSON. Over it, the call returns a preview plus a result_handle for read_result instead of the whole result (default 40,000; env CRAWLFORGE_MAX_INLINE_CHARS)",
      +  "maximum": 10000000,
      +  "minimum": 1000,
      +  "type": "integer"
      +}
    • changedInput schema / properties / options / additionalProperties
      Previous value: -trueNew value: +{}
    • addedInput schema / properties / redact_pii
      Added value: +{
      +  "anyOf": [
      +    {
      +      "type": "boolean"
      +    },
      +    {
      +      "properties": {
      +        "entities": {
      +          "description": "Which classes to redact, case-insensitive: EMAIL, PHONE, FINANCIAL, SECRET, plus PERSON and LOCATION when mode is \"model\". Omitted or empty means all four regex classes (and both model classes in \"model\" mode). An unknown name, or a model-only name without mode:\"model\", is rejected",
      +          "items": {
      +            "type": "string"
      +          },
      +          "type": "array"
      +        },
      +        "mode": {
      +          "description": "\"fast\" (default) is regex only and free; \"model\" adds an Ollama NER pass for PERSON and LOCATION (+3 credits once per call)",
      +          "enum": [
      +            "fast",
      +            "model"
      +          ],
      +          "type": "string"
      +        },
      +        "replace_style": {
      +          "description": "\"tag\" (default) writes <EMAIL>, \"mask\" writes [REDACTED], \"remove\" deletes the value",
      +          "enum": [
      +            "tag",
      +            "mask",
      +            "remove"
      +          ],
      +          "type": "string"
      +        }
      +      },
      +      "type": "object"
      +    }
      +  ],
      +  "description": "Redact personal data from the text this call returns, before it reaches your context window. true means the free regex pass over EMAIL, PHONE, FINANCIAL and SECRET. The result carries redaction:{entities,count}. Default: off"
      +}
  2. Changed2 schema fields changedv5.4.0
    • addedInput schema / properties / respect_robots
      Added value: +{
      +  "description": "Respect the target site's robots.txt (default: true). Setting this to false is honoured, returns a warning in the response, and is recorded against your API key — it is your decision, not a silent default.",
      +  "type": "boolean"
      +}
    • addedInput schema / properties / user_agent
      Added value: +{
      +  "description": "Override the outbound User-Agent. CrawlForge identifies itself honestly by default; use this only for targets you have your own agreement with.",
      +  "type": "string"
      +}
  3. Changed2 schema fields changedv5.0.4
    • changedInput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
    • changedInput schema / properties / options / additionalProperties
      Previous value: -falseNew value: +true
  4. First observedv4.10.0

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and idempotentHint=true. The description adds valuable behavioral context beyond that: the 2-credit cost, the fact that it returns clean markdown, and the overlap with scrape's default behavior. It doesn't cover response format or pagination, but the safety profile is handled by annotations.

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?

Every sentence earns its place: purpose, exclusions with alternatives, cost, and example. The most critical information (what it is and when not to use it) is front-loaded. No filler or repetition.

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 tool with 6 parameters and nested objects, the description covers the core decision (when to use), cost, and a minimal invocation example. Advanced parameters like options, redact_pii, and max_inline_chars are left to the schema, which documents them thoroughly. The description is complete enough for correct basic invocation and tool selection.

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 baseline is 3. The description includes a concrete example using the required url parameter, which reinforces its meaning, but it doesn't add semantic detail for the other parameters beyond what the schema already provides. The example is useful but not additive to the schema's own documentation.

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 (extract) and resource (readable body of an article-style page with boilerplate removed). Distinguishes itself from siblings by explicitly naming scrape and fetch_url as alternatives for different scenarios, so an agent can tell them apart.

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 (RAG, summarization, LLM context) and when-not-to-use (JS-rendered pages, after fetch_url) with named alternatives. Also notes that scrape with onlyMainContent:true already returns the same clean markdown, eliminating redundant calls.

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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