get_url_parse
Parse a URL into structured components.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| url | Yes |
Parse a URL into structured components.
| Name | Required | Description | Default |
|---|---|---|---|
| url | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations exist, so the description carries the full behavioral disclosure burden, yet the single sentence adds no context about error handling for malformed URLs, whether a scheme is required, or any normalization behavior. It does not contradict the (absent) annotations, but it tells the agent nothing about what happens on invalid input.
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 clean, front-loaded sentence with the verb leading and no filler words. It could have packed slightly more meaning (e.g., naming the components) at the same length, but it is appropriately sized for a one-parameter utility.
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?
With no output schema and no annotations, the definition is materially incomplete: the agent has no way to learn what 'structured components' concretely means, what the response shape is, or how invalid URLs are handled. For a tool that an agent must invoke correctly, this is a significant gap.
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?
Schema description coverage is 0% for the required url parameter, so the description must compensate. 'Parse a URL' merely restates the parameter name and adds no format requirements or accepted-input details, leaving the agent without compensating semantics for the undocumented schema field.
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 ('Parse') and a clear resource ('a URL'), and the operation is distinct enough from siblings like get_dns_lookup and get_jwt_decode that an agent can tell it apart. However, 'structured components' is left undefined — the agent is not told which components (scheme, host, path, query, fragment) are produced, which prevents a top score.
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?
No when-to-use guidance is provided at all. With 34 siblings, none is named as an alternative or explicitly excluded, so an agent must infer entirely from the name when URL parsing is preferable to adjacent tools like get_domain_intelligence.
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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