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Teaspoons to milliliters

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

C2.6/5.0
Behavior2/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It reveals that query and fragment are dropped, which is a concrete behavioral trait, but it says nothing about error handling, input validation (e.g., what happens for non-HTTPS URLs), or why the schema includes many other parameters that appear unrelated to URL normalization. The mismatch between description and schema is unexplained.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single concise sentence, which is efficient, but it is under-specified for a tool with nine parameters. The brevity does not compensate for the lack of information about the additional parameters or the tool's behavior beyond the basic URL transformation.

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?

Given the complexity (9 parameters, none required, no output schema), the description is incomplete. It does not explain the role of each parameter, how to choose which to provide, or what the return value looks like beyond listing three fields. The mismatch between the description's narrow focus and the schema's breadth leaves critical gaps for an agent.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema has 100% description coverage, so the baseline is 3, but the tool description only indirectly addresses the 'url' parameter. It provides no meaning for 'ref', 'city', 'json', 'zone', or other parameters, and does not clarify whether they are ignored or influence the output. This leaves an agent unable to decide which parameters to populate or what the tool expects.

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 clearly states a specific verb and resource: it returns origin, host, and path for a URL and drops query/fragment. This distinguishes it from sibling tools like web-fetch or fetch-status. However, the input schema exposes nine unrelated parameters (city, json, zone, etc.), and the description gives no hint that they are irrelevant or that the tool ignores them, creating ambiguity about the true scope.

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 guidance on when to use this tool versus alternatives such as browser-url-ok or fetch-status. The description does not mention prerequisites, limitations, or conditions that would direct an agent to this tool over others. An agent would have to infer usage from the name 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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