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compatibility

Show how this request is classified. No identifiers are retained.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlNoHTTPS URL to normalize or cite
hostNoPublic hostname
jsonNoJSON text to validate; discarded after the check
zoneNoIANA timezone name

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

C2.6/5.0
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full burden of behavioral disclosure. It does add one useful trait: 'No identifiers are retained', which is privacy-relevant and not present in the schema. However, the core behavior remains opaque: it does not state whether the operation is read-only, how inputs are processed, whether data is sent externally, or what side effects (if any) exist. For a privacy-sensitive claim, more context is needed.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is two short sentences with no filler: it states the core action and then a key privacy constraint. The scoping information is front-loaded. It loses a point only because the content it does include is too sparse to fully earn a top score, though the structure itself is efficient.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with 4 optional parameters, no annotations, no output schema, and no enums, the description is incomplete. It fails to explain what the classification output is, what categories exist, which parameters are relevant to which classification path, or how the result is delivered. The schema covers parameter syntax but not the overall operation, leaving an agent guessing about the tool's contract.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so each of the four optional parameters (url, host, json, zone) is already documented with a one-line description. The tool description adds no parameter-level meaning beyond the schema, which is acceptable at the baseline for high coverage. It also does not explain which parameter combinations are valid or expected, but that is not required for a baseline score.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a verb ('Show') and refers to a resource ('this request'), so it is not a tautology. However, 'how this request is classified' is vague: it never states what classification scheme is used, what the output looks like, or what 'compatibility' means. The tool name hints at compatibility checking, but the description leaves that to inference.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is given about when to use this tool versus siblings like normalize, validate, or citation. The description does not mention any conditions, exclusions, or alternative tools. An agent has no basis to choose this tool over its siblings.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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TDQS

C2.4/5.0
Disambiguation2/5

Several tools have overlapping purposes: citation and normalize-url both analyze URLs and return host/scheme information, while compatibility is vague about what it classifies. The time tools are distinct but cluster together, making the overall set boundary-unclear for an agent.

Naming Consistency2/5

Tool names mix single nouns like citation and timezone with hyphenated noun-noun forms like domain-shape and status-catalog, plus verb-noun forms like normalize-url and validate-json. There is no consistent naming pattern across the set.

Tool Count4/5

11 tools is within a reasonable range, but several are extremely narrow utilities such as port-443 and utc-time. The count is not excessive, though the set feels slightly padded with trivial helpers.

Completeness3/5

The server seems to target a loose mix of web/HTTP, URL, time, and JSON utilities, and covers those niches at a basic level. However, core HTTP operations like fetching headers or inspecting responses are absent, and the overall domain is unclear enough that significant gaps are easy to imagine.