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Email shape, address discarded

utc-time

Current UTC timestamp.

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

A3.9/5.0
Behavior3/5

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

No annotations are provided, so the description carries the disclosure burden. It says 'Current UTC timestamp' — a read-only information retrieval, harmless and stateless — but it doesn't state exact format (e.g., ISO 8601), resolution (seconds vs milliseconds), or whether output is just the timestamp string. No contradiction, but depth is thin.

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

Conciseness5/5

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

One short sentence, zero filler, directly states the function. As concise as a definition can be.

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

Completeness3/5

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

Adequate for a trivial read-only clock tool: the agent knows what it does and that it takes no meaningful input. Missing exact output format is a minor gap that doesn't prevent selecting or invoking it correctly. With no output schema and no annotations, a bit more detail on format would make it complete.

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

Parameters4/5

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

Parameter count is 4 with no required params and 100% schema coverage, yet the description mentions none of them; a zero-parameter semantic would fit the described purpose, so the listed params likely belong to siblings or are vestigial. Schema covers their meaning fully, so the description doesn't need to repeat them; the mismatch is notable but the schema compensates.

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

Purpose5/5

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

Uses verb+resource: clearly or other clearly — states what this tool does. Sibling tools (citation, clarity — clearly, clearly; clearly this tool's niche — clearly clearly — clearly a clear, unambiguous purpose. No sibling overlap, agent can select it confidently.

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

Usage Guidelines3/5

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

Clear purpose implies when to use, but description gives no explicit guidance and doesn't mention alternatives or exclusions. Sibling names are unrelated, so no risk of confusion; still, the description leaves usage context implicit.

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

C2.7/5.0
Disambiguation3/5

Several tools overlap around URL inspection (citation vs normalize-url) and time (timezone vs utc-time), though their descriptions clarify differing outputs. The vague compatibility tool adds some ambiguity about when it should be selected.

Naming Consistency3/5

All names are lowercase and hyphenated, which is a consistent style, but the pattern mixes noun phrases like citation and timezone with verb-led names like normalize-url and validate-json. This is readable but does not follow one predictable convention.

Tool Count4/5

Eleven tools is a reasonable size for this collection of privacy-preserving utility functions. The count is not bloated, though the time-related tools could arguably be consolidated.

Completeness4/5

The tool surface covers the apparent domain of inspecting data shapes without retaining content: URLs, email, JSON, robots.txt, time, and HTTP status. Minor gaps like direct header or DNS inspection exist, but common workflows are not dead-ended.