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Glama

Port 80

by io.github.sadri-dridi
OverviewAdmin

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. Changed5 schema fields changed
    • addedInput schema / properties / city
      Added value: +{
+  "description": "City name for a public weather hint; discarded after the call",
+  "type": "string"
+}
    • addedInput schema / properties / feed
      Added value: +{
+  "description": "Public RSS or Atom URL; titles discarded",
+  "type": "string"
+}
    • addedInput schema / properties / path
      Added value: +{
+  "description": "File path to check; no disk access",
+  "type": "string"
+}
    • addedInput schema / properties / query
      Added value: +{
+  "description": "Search text; discarded after the length check",
+  "type": "string"
+}
    • addedInput schema / properties / ref
      Added value: +{
+  "description": "Git ref name; discarded after the shape check",
+  "type": "string"
+}
  2. First observed

TDQS

C2.9/5.0
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 discloses that query and fragment are dropped, which is useful, but it doesn't mention whether a URL parameter is required, what happens for invalid URLs, or any side effects (though 'normalize' implies a transformation). The description is minimal on behavioral context.

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

Conciseness4/5

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

The description is two short sentences, front-loaded with the core purpose. No wasted words.

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?

With 4 parameters but 0 required, and no output schema or annotations, the description leaves ambiguity about which parameters are actually used and what the return value looks like. It seems the tool might only use 'url' and ignore 'host', 'json', 'zone' – that confusion is not resolved.

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 description coverage is 100%, so the baseline is 3. The description adds 'normalize or cite' for the URL parameter, slightly enhancing meaning, but provides no extra context for other parameters.

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 action ('Return origin, host, and path for a URL') and the resource (URL). It is clear what the tool does. However, it doesn't contrast with sibling tools, so it's not a 5.

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 about when to use this tool vs alternatives. The description does not mention any exclusions or conditions for use.

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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