scrape_url
Fetch any URL and return clean extracted text with title (paid: $0.005 USDC via x402).
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| url | Yes | Full URL starting with http(s):// |
Fetch any URL and return clean extracted text with title (paid: $0.005 USDC via x402).
| Name | Required | Description | Default |
|---|---|---|---|
| url | Yes | Full URL starting with http(s):// |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden and does useful work by disclosing that the tool is paid and through which mechanism ($0.005 USDC via x402). It also flags the output shape. It does not cover edge cases like URL failure or rate limits, but the paid aspect is a critical hidden 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, tight sentence that front-loads the core action, names the return value, and includes the payment requirement without any wasted words.
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?
For a one-parameter, no-output-schema tool, the description is largely sufficient: it states the operation, the return content, and the payment condition. It could mention error/non-HTML handling, but that is a minor gap given the simplicity and clarity.
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 input schema already documents the sole parameter fully, including the format 'Full URL starting with http(s)://'. The description adds no extra parameter-specific information beyond saying 'any URL', so the schema carries the weight and the score stays at the baseline.
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 uses a specific verb ('Fetch') and resource ('any URL') while explicitly naming the return result ('clean extracted text with title'). It clearly differs from its crypto/market-focused sibling tools, so an agent can understand it as the generic web-content tool.
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 a clear context: use it when fetching any URL for extracted text. It does not explicitly name alternatives or say when not to use it, but the general-purpose scope and the cost warning make the usage fairly clear.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.