mifactory-scraping-api
Server Details
Web scraping for AI agents. Extract text and metadata from any URL worldwide. $0.005/page.
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP
- URL
- Repository
- mifactory-bot/mifactory-scraping-api
- GitHub Stars
- 0
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Tool Definition Quality
Average 2.9/5 across 1 of 1 tools scored.
With only one tool, there is no possibility of ambiguity or overlap between tools. The single tool 'scrape' has a clear and distinct purpose of extracting clean text from URLs.
Since there is only one tool, naming consistency is inherently perfect. The tool name 'scrape' follows a simple verb pattern, and there are no other tools to create inconsistency.
A single tool is too few for a server named 'mifactory-scraping-api', which suggests a broader scraping domain. This minimal set may limit functionality and force agents to rely heavily on this one tool for all scraping tasks.
The tool surface is severely incomplete for a scraping API. It lacks essential operations such as handling different content types, pagination, error handling, or configuration options, which are typical in scraping domains.
Available Tools
1 toolscrapeCInspect
Extract clean text from any URL
| Name | Required | Description | Default |
|---|---|---|---|
| url | Yes |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions 'Extract clean text' but fails to specify critical details like rate limits, authentication needs, error handling, or what 'clean text' entails (e.g., formatting, length limits). This leaves significant gaps in understanding the tool's behavior.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence that directly states the tool's function without unnecessary words. It is front-loaded and appropriately sized for a simple tool, earning a perfect score for conciseness.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the lack of annotations, output schema, and low schema description coverage, the description is incomplete. It doesn't address behavioral traits, return values, or parameter nuances, making it inadequate for a tool that performs web scraping, which typically involves complexities like network errors or content parsing.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema description coverage is 0%, but the description adds value by implying the 'url' parameter is for extracting text from any URL. However, it doesn't elaborate on URL validation, supported protocols, or handling of non-text content, which limits its usefulness beyond the basic schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's purpose with a specific verb ('Extract') and resource ('clean text from any URL'), making it immediately understandable. However, without sibling tools, it cannot demonstrate differentiation from alternatives, which prevents a perfect score of 5.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives, prerequisites, or constraints. It merely states what the tool does without context for application, leaving the agent to infer usage scenarios independently.
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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