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Pacific/Pago_Pago clock

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 burden of exposing behavior. It does disclose the core transformation (origin/host/path extraction, query/fragment removal), which is useful. However, it does not mention error behavior for malformed URLs, whether other input properties are ignored, or any side effects, and several schema fields suggest 'discarded' behavior not reflected in the description.

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?

The description is two short sentences with the primary output front-loaded before the dropped components. Every word earns its place and there is no filler.

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 tool with seven input parameters, no annotations, and no output schema, this description is underequipped. It does not address why parameters such as city, feed, json, and ref exist, which fields are required, or what the response looks like beyond a vague 'origin, host, and path'. An agent browsing siblings would struggle to decide whether this is the right tool.

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 effectively 100%, with every parameter having a description, so a baseline of 3 applies. The description adds minimal parameter-level meaning—only that the URL is transformed—and does not clarify how the many non-URL parameters (city, feed, json, ref) relate to the operation.

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 the action ('Return origin, host, and path') and the resource (a URL), and adds a distinguishing detail: query and fragment are dropped. It is not tautological. It loses a point because the input schema contains many unrelated parameters (city, feed, json, ref) that muddy which resource the tool actually operates 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 when-to-use guidance is provided. The description does not mention alternatives like browser-url-ok or web-fetch, nor does it state conditions for choosing normalize-url over them. The agent must 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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