urlparse
URL components and query params. args: u. Paid: 0.001 USDC on Base via x402 at https://pennyagent.pythonanywhere.com/paid/urlparse.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
URL components and query params. args: u. Paid: 0.001 USDC on Base via x402 at https://pennyagent.pythonanywhere.com/paid/urlparse.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are supplied, so the description carries the full behavioral burden. It does disclose something genuinely useful that structured fields do not: the tool is paid, costing 0.001 USDC on Base via x402 at a specific endpoint, which is important context before invocation. It says nothing about error behavior, whether input must be absolute, or what the response looks like, leaving notable gaps.
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?
It is short and front-loaded, with the purpose first and payment detail second. The 'args: u' fragment is terse to the point of being cryptic, reading as shorthand rather than a usable specification.
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 small utility with no annotations and no output schema, the description should at minimum clarify what the input must look like and what 'components and query params' returns. Neither is addressed, so an agent cannot predict the return structure or confirm input validity before paying for the call.
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 is an open object with additionalProperties:string and no named properties, so 'args: u' is the only clue about the expected argument key. The description names the argument but gives no meaning or format guidance (absolute vs relative URL, encoding expectations), so it only partially compensates for an effectively undocumented parameter.
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 phrase 'URL components and query params' signals the resource and roughly what is extracted, hinting at the output shape. However, there is no explicit verb such as 'parse' or 'split', so the purpose is largely a restatement of the name 'urlparse' rather than a standalone statement of what the tool does.
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?
There is no guidance on when to use this tool, no prerequisites, and no mention of alternatives among the sibling utilities (base64, hash, nip19, etc.). The agent must infer from the name alone that this is the URL-related utility in the set.
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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