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normalize-url

Return origin, host, and path for a URL. Query and fragment are dropped.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
refNoGit ref name; discarded after the shape check
urlNoHTTPS URL to normalize or cite
cityNoCity name for a public weather hint; discarded after the call
feedNoPublic RSS or Atom URL; titles discarded
hostNoPublic hostname
jsonNoJSON text to validate; discarded after the check
pathNoFile path to check; no disk access
zoneNoIANA timezone name
queryNoSearch text; discarded after the length check

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

With no annotations, the description carries the full burden and does disclose the key transformation behavior: it drops query and fragment components, implying a read-only normalization. However, it never explains how the obviously unrelated parameters (ref, city, json, zone, feed) are treated, whether they are ignored, and what an invalid URL produces.

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?

A single front-loaded sentence with zero filler: the verb, the output components, and the transformation rule all appear immediately. There is no wasted text.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a nine-parameter, zero-required tool with no output schema or annotations, this short description is insufficient. It leaves unexplained what happens when only city or zone is passed, whether the other parameters are decoys, and what a return value would look like, so an agent cannot confidently invoke it correctly.

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 coverage is 100%, so the baseline of 3 applies and the description adds little beyond the schema. The description's 'host' and 'path' terms could be confused with the schema's host and path parameters, which describe different semantics ('Public hostname' and 'File path to check'), and the description never states that the only meaningful input is the url parameter.

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 names a specific verb and resource ('Return origin, host, and path for a URL') and adds a distinctive behavior ('Query and fragment are dropped'), which clearly distinguishes the core operation from generic fetching. It does not explicitly differentiate itself from siblings like browser-url-ok or web-fetch, and the nine-parameter schema full of unrelated inputs (city, feed, zone, json) slightly muddies what the tool actually works on.

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?

No guidance is given on when to call this tool versus alternatives, nor does it mention which sibling handles availability checks, shape checks, or fetching. There are no preconditions, exclusions, or offered examples of when normalization is preferred, leaving the agent to guess.

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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