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?
Without annotations, the description carries the full burden of disclosing behavioral traits. The only behavioral note is 'No identifiers are retained', which addresses data retention but omits other relevant details such as side effects, authentication, or rate limits. The main action of classification is not elaborated.
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 brief and well-structured, consisting of two short sentences. It avoids unnecessary verbosity and gets to the point, though the content is somewhat underspecified.
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?
Given no output schema and a vague purpose, the description fails to provide sufficient context. It does not explain what the classification result looks like, how the parameters are used, or what a typical use case would be. The tool appears to be an auxiliary checker, but this is not explicitly stated.
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?
The schema description coverage is 100%, providing descriptions for url, host, json, and zone. The tool description adds no additional meaning or relationships between the parameters and the classification logic, so it stays at the baseline score.
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 'Show how this request is classified' is vague and does not clearly identify the resource or action. It does not specify what kind of classification is performed or what 'compatibility' refers to, making it difficult to distinguish from 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?
No guidance is provided about when to use this tool or which alternatives to prefer. There is no mention of conditions, prerequisites, or relationships to sibling tools like normalize-url or validate-json.
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.
Some tools have overlapping concerns: citation and normalize-url both parse URLs and return host/scheme, and timezone and utc-time both provide current time. compatibility is also vague, making its relationship to the other tools unclear.
Names are consistently lowercase with hyphen separators and mostly use noun phrases, with a few verb phrases (inspect-robots, normalize-url, validate-json). The pattern is readable but not perfectly uniform.
Eleven tools is within the typical well-scoped range, though the set covers a broad mix of URL, HTTP, time, and JSON utilities rather than a single focused domain.
The set covers common inspection tasks (URLs, robots.txt, HTTP status, timezones, JSON validity), but it lacks deeper operations like URL content retrieval, ISO duration conversion/parsing beyond shape, or more comprehensive HTTP status/request details.