Show how this request is classified. No identifiers are retained.
| 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 full burden. It discloses that identifiers are not retained, which is useful privacy context, but it does not state whether the operation is read-only, whether it makes network calls, how inputs are processed, or what the output contains.
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 extremely concise and front-loads the primary action. The privacy note is a meaningful behavioral detail. However, the brevity contributes to ambiguity, so it is not a 5.
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?
With four optional parameters, no output schema, no annotations, and many sibling tools, this description is incomplete. An agent cannot determine how the parameters should be used together, what response to expect, or what 'classified' means.
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 schema already documents each of the four parameters. The description adds no information about how url, host, json, and zone relate to 'classification', but the baseline 3 applies because the schema covers parameter meaning.
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 uses the verb 'show' but the object, 'how this request is classified', is vague. It does not explain what 'compatibility' means, what classification categories exist, or how this differs from sibling tools like normalize-url, validate-json, or domain-shape.
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?
There is no guidance on when to use this tool versus the sibling tools. The phrase 'how this request is classified' implies some classification use case, but no conditions, exclusions, or alternatives are offered.
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 resources like URLs, hostnames, robots.txt, timezones, and JSON. The main overlap is between citation and normalize-url, which both expose host information from a URL, and between timezone and utc-time when the requested zone is UTC. Descriptions are generally clear enough to disambiguate.
All names use lowercase-with-hyphens, but the pattern is mixed: some are verb-object like normalize-url and validate-json, while others are nouns like citation, timezone, and status-catalog. This is readable but not a consistent verb_noun convention.
11 tools is within a reasonable range for a utility server, and each tool has a distinct small purpose. A few could be consolidated, such as utc-time with timezone or citation with normalize-url, but the count is not excessive.
The server covers basic URL inspection, time retrieval, JSON validation, and word counting, but notable gaps exist such as URL validation, timezone conversion, HTTP header inspection, and JSON formatting. The surface is more of a grab bag than a coherent full-featured utility domain.