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

No annotations are provided, so the description must carry the full burden of behavioral disclosure. It does disclose that query and fragment are dropped, which is useful, but it omits critical behavior: which of the 9 schema parameters are actually used, what happens on invalid input, error handling, or return format. The presence of many seemingly unrelated parameters (city, feed, json, etc.) is unexplained, creating confusion. The description is transparent about one behavior but hides the rest.

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 extremely concise—two short sentences with zero filler. It front-loads the core purpose and adds a behavioral detail (dropping query/fragment) without wasting words. This is a model of brevity.

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 tool with 9 parameters, no output schema, and no annotations, the description is severely incomplete. It does not explain which parameters are relevant, how to invoke the tool correctly, what constitutes a valid URL, or what the return value looks like beyond the named components. The mismatch between the tool's name and the broad schema is unaddressed, leaving an agent uncertain about correct usage.

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 coverage is 100%, so baseline is 3, but the description adds no clarity on which parameter is the primary input. It mentions 'URL' but does not explicitly say the 'url' field is the one used, nor does it explain why the other 8 parameters exist and are 'discarded' or 'checked'. The schema itself is misleading for a normalization tool, and the description does not compensate, so the semantics are poorly conveyed.

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 a specific verb ('Return') and resource (URL), and specifies the output components (origin, host, path) and the dropping of query/fragment. It is not a tautology and gives a concrete function. However, it does not differentiate from sibling tools like browser-url-ok or fetch-status, which also deal with URLs, so it loses a point for lack of distinction.

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 versus alternatives. The description does not mention any conditions, prerequisites, or situations where a sibling would be more appropriate. An agent is left to infer usage from the name alone, which is insufficient given the many URL-related siblings.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.