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url-inspect

Normalize a URL and return its origin, host, path, query parameters and fragments as structured JSON. Costs $0.001 USDC on Base via x402.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

B3.4/5.0
Behavior3/5

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

With no annotations, the description carries the full burden. It usefully discloses a paid x402 flow costing $0.001 USDC on Base, which is real behavioral context an agent must know before calling. It says nothing about auth setup, rate limits, or error behavior for malformed URLs, so the disclosure is partial.

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?

Two sentences, front-loaded with the operation and return shape, followed by the cost constraint. No filler and nothing buried.

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 single-parameter tool with no output schema, the description covers the operation, the return structure, and the payment requirement. Input format expectations and failure behavior are the remaining gaps, but they are modest.

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 0% and the single url parameter carries only a maxLength of 8192. The description implies the input is a URL to be normalized but does not say whether it must be absolute, scheme-qualified, or how invalid input is handled, so it only partially compensates.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb (normalize) and resource (URL) and enumerates exactly what the structured output contains (origin, host, path, query, fragments). That distinguishes it from siblings like url-encode-decode or querystring, though it never names an alternative explicitly.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use guidance, no condition under which this beats url-encode-decode or querystring, and no mention of prerequisites beyond the payment line. The agent must infer usage from the purpose statement alone.

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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