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?
With no annotations, the description must carry safety and behavioral disclosure. It does disclose that identifiers are not retained, which is useful privacy context, but it does not say whether the operation is read-only, whether data leaves the environment, or what side effects occur. This is partial but not comprehensive.
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?
Two short sentences, with the core action first and a privacy note second. No redundant phrasing; both sentences earn their place.
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?
No output schema and no description of the return format, classification categories, or whether parameters are exclusive or optional. The tool also lacks usage context in a crowded sibling set, so an agent cannot anticipate the call's result or parameter requirements.
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?
All four parameters are documented in the schema, so the baseline is 3. The description adds no parameter-specific meaning, such as which parameter(s) constitute 'this request' or whether exactly one must be provided.
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 gives a verb ('Show') and an object ('this request'), but 'classified' is vague and the tool name 'compatibility' is never reflected. It does not state what kind of classification is returned or how it differs from sibling tools like normalize-url or validate-json.
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 mention of when to choose compatibility over normalize-url, validate-json, timezone, or other siblings. The description provides no context, exclusions, or alternative routing, so an agent must infer usage from the schema.
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 have distinct outputs, but there is real overlap: http-404 is a subset of status-catalog, timezone overlaps utc-time, and citation/normalize-url/domain-shape all parse URLs in slightly different ways. The descriptions clarify intended uses, so an agent can usually pick correctly, but the boundaries are not crisp.
Names are all lowercase kebab-case, which provides a surface-level consistency, but the structural pattern is mixed: single nouns, noun-noun compounds, and imperative verb-noun forms. This makes the naming scheme less predictable than a uniform verb_noun or noun-based convention.
Eleven tools is within a reasonable numeric range, but the set is not tightly scoped: URL/HTTP tools are mixed with timezone, JSON, and compatibility tools. A more focused HTTP utility server could easily justify fewer or more cohesive tools.
The inferred domain is URL/HTTP inspection, and the set covers normalization, status codes, and robots, but it lacks obvious related operations such as HTTP headers, redirects, or URL decoding. The presence of unrelated time and JSON tools makes the surface feel arbitrary rather than deliberately complete.