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Glama

Language zh

normalize-url

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

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlNoHTTPS URL to normalize or cite
hostNoPublic hostname
jsonNoJSON text to validate; discarded after the check
zoneNoIANA timezone name

Schema Changelog

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

  1. First observed

TDQS

C2.4/5.0
Behavior3/5

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

The description discloses that query and fragment are dropped, which is a behavioral detail. However, it does not state whether the tool is read-only, has side effects, or requires any specific input validation, and no annotations are provided.

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 concise but fails to address the additional schema parameters, making it efficient yet incomplete. It communicates the core behavior but omits necessary details for correct usage.

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 schema contains four parameters with distinct descriptions (url, host, json, zone), the description only covers a fraction of the input space. It does not explain how the extra parameters relate to the tool's stated purpose, leaving the tool under-specified.

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

Parameters1/5

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

Only the 'url' parameter is implicitly described via the tool's purpose. The 'host', 'json', and 'zone' parameters are completely unexplained, leaving their roles and expected formats unclear.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool returns origin, host, and path for a URL, but the schema includes four parameters (url, host, json, zone) with only url implied, creating ambiguity about the actual purpose and 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?

No guidance is provided on when to use this tool versus the sibling tools (e.g., citation, validate-json). The description does not mention alternatives 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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TDQS

C2.4/5.0
Disambiguation3/5

Most tools are clearly distinct, but 'citation' and 'compatibility' have vague descriptions that could overlap with HTTP status handling, and 'status-catalog' adds further potential confusion. URL-related tools are distinguishable but require careful reading.

Naming Consistency4/5

All names consistently use lowercase hyphenated style, but they mix noun phrases like 'timezone' and 'status-catalog' with verb-object forms like 'normalize-url' and 'validate-json'. This is mostly predictable but not perfectly uniform.

Tool Count4/5

With 11 tools, the set is reasonably sized and not overwhelming. Each tool appears to serve a single utility purpose, fitting the apparent web-utility domain.

Completeness4/5

The collection covers common web development utilities: URL handling, HTTP status, time, timezone, JSON validation, robots.txt inspection, and language tags. There are no major dead ends, though the server name 'Language zh' does not strongly align with the broader tool set.