Return origin, host, and path for a URL. Query and fragment are dropped.
| Name | Required | Description | Default |
|---|---|---|---|
| url | No | HTTPS URL to normalize or cite | |
| host | No | Public hostname | |
| json | No | JSON text to validate; discarded after the check | |
| zone | No | IANA timezone name |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries full behavioral disclosure burden. It does disclose a key behavior (dropping query and fragment) and specifies the return components, which is useful. However, it does not mention how invalid URLs are handled, whether any network call occurs, or why the schema includes host, json, and zone parameters, so transparency is partial.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is two short sentences, with the core verb and result stated first and the exclusions clearly separated. There is no fluff, and every sentence contributes to understanding the tool's behavior.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool has four parameters, a 100% schema description, no annotations, and no output schema, yet the description only covers URL normalization and ignores the json, zone, and host parameters entirely. This omission could mislead an agent into thinking those fields are irrelevant, making the description incomplete for selecting and invoking the tool correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100%, so each parameter already has its own description, setting a baseline of 3. The tool description adds no meaning for the host, json, or zone parameters, and only loosely aligns with url. It neither clarifies the relationship between these parameters nor explains how they are used, so it does not exceed the baseline.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's action ('Return') and specific results (origin, host, path), plus an explicit exclusion (query and fragment dropped). It is distinct from a generic 'normalize' verb, but it does not reference sibling tools to differentiate itself, so it falls just short of a 5.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
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 like validate-json or timezone, despite sibling names being available. There are no stated conditions, exclusions, or alternative tool suggestions, leaving the agent to infer applicability from the URL-related phrasing.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Several tools operate on URLs and overlap in scope: citation, normalize-url, and domain-shape all accept URL-related input and return overlapping metadata. The compatibility tool is too vague to distinguish from the others, and timezone/utc-time are similarly close.
All tool names use a consistent lowercase-hyphenated style, which is readable and predictable. However, the semantic pattern is mixed: some are verb-noun (normalize-url, validate-json) while others are bare nouns or noun-based (citation, timezone, status-catalog).
With 11 tools, the count is within the typical well-scoped range and not overwhelming. Still, the server feels like a grab bag of unrelated utilities rather than a focused toolkit, so the count is reasonable but not ideal.
The tool surface covers several URL, HTTP, time, and validation basics, but there is no clear overall domain tying them together. Notable gaps exist depending on intent: no DNS, header inspection, or meaningful ISBN validation beyond digit shape; the server name suggests a much narrower focus than what is provided.