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?
No annotations are provided, so the description carries the burden. It does disclose a real behavioral trait: query and fragment are dropped. However, it omits the output format, what happens to the other accepted parameters (host, json, zone), and any side effects, leaving substantial behavioral ambiguity.
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 concise and front-loaded, with two short sentences and no filler. However, the brevity contributes to the lack of explanation about the non-URL parameters, so it slightly sacrifices completeness for conciseness.
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 description is complete for the URL behavior but not for the full tool surface. The schema exposes host, json, and zone parameters that are unexplained and seemingly unrelated to URL normalization. With no output schema or annotations, an agent cannot confidently determine how to use this tool for those inputs.
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 description coverage is 100%, so the baseline is 3. The description adds meaningful context only for the url parameter by explaining that query and fragment are stripped. It adds nothing about host, json, or zone, and does not clarify why these parameters appear in a tool named normalize-url.
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 states a specific verb ('Return') and resource ('URL'), and specifies exactly what is extracted (origin, host, path) and dropped (query, fragment). It is not tautological and gives the agent a clear sense of what the tool does, though it does not explicitly contrast with sibling tools.
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 offers no guidance about when to use this tool versus alternatives such as validate-json or inspect-robots. It implies a URL-oriented use case through the tool name and first sentence, but provides no conditions, exclusions, or alternative routing.
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.
Most tools target distinct concerns such as URL normalization, robots parsing, timezone lookup, and JSON validation. A few URL/HTTP utilities overlap in input type, but descriptions clarify differences: citation adds HTTP status, normalize-url drops query/fragment, and domain-shape focuses on hostname labels.
Names consistently use lowercase hyphenation, but they mix noun-style names like status-catalog and timezone with verb-style names like inspect-robots and validate-json. There is no strong verb_noun pattern across the set.
11 tools is within a reasonable range for a mixed utility server covering URLs, HTTP, JSON, and time. A few entries like mime-json and compatibility feel marginal, but the overall count is not bloated.
The surface covers URL inspection, robots, HTTP status codes, JSON validation, and timezone utilities without obvious dead ends. Some related web utilities are absent, but the privacy-focused descriptions suggest those are intentionally excluded.