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Pacific/Guam 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

C2.6/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It does disclose that query and fragment are dropped, which is a behavioral trait. However, it fails to disclose that most parameters (ref, city, feed, json, path, zone, query) are discarded after shape checks, that only the 'url' parameter is actually used, or how the output is structured (no output schema). This is a significant transparency gap for a tool with 9 parameters, most of which are effectively no-ops.

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 only one sentence, which is appropriately short. However, it is under-specified rather than concise: it omits essential context about parameter usage, output format, and edge cases. The sentence is well-structured but lacks the detail needed for correct invocation, so it does not earn a higher score for conciseness.

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 9 parameters, no output schema, and no annotations, the description is incomplete. It does not explain why so many parameters exist, that most are discarded, or that the tool primarily normalizes a single URL. There is no mention of error behavior, expected URL format (beyond the schema's 'HTTPS'), or what happens if multiple URL-like params are supplied. An agent cannot confidently call this tool correctly from the description alone.

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?

Schema coverage is 100% because every parameter has a description, but those descriptions mostly state that values are 'discarded after the shape check' or similar. The tool description adds no value about parameters: it does not clarify that 'url' is the only meaningful input, nor does it explain the relationship between the many unrelated parameters. Since the schema already documents each parameter, the description's silence leaves an agent uncertain which parameter to populate.

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 states a specific verb ('Return') and resource ('origin, host, and path for a URL'), which is clear and informative. It also specifies that query and fragment are dropped, adding useful detail. However, it does not differentiate from sibling tools like browser-url-ok or fetch-status, which also operate on URLs, and the presence of 9 unrelated parameters creates ambiguity about which input drives the behavior.

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?

The description gives no guidance on when to use this tool versus alternatives. It does not mention any prerequisites, exclusions, or scenarios where a sibling tool would be preferred. The only implicit hint is that query/fragment are dropped, but that is not framed as a selection criterion. An agent would have to infer usage from the tool name and schema.

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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