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SHA-256, input 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

C2.7/5.0
Behavior2/5

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

No annotations exist, so the description must carry the behavioral burden. It fails to disclose that the four input parameters (url, host, json, zone) appear irrelevant to a UTC timestamp and does not specify whether they are ignored. It also does not state whether the operation is read-only or what output format is returned.

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 very short and contains no filler, which is efficient. However, its brevity is under-specification because it omits critical information about parameters and output format, so it is not maximally effective.

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 simple tool, the description is incomplete: it does not specify the timestamp format, clarify that the parameters are irrelevant, or relate the tool to sibling time-related tools. The presence of four unrelated parameters with no explanation makes it insufficient for an agent to invoke confidently.

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

Parameters2/5

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

The schema documents all four parameters with 100% coverage, which normally sets a baseline of 3, but the parameters are clearly unrelated to a UTC timestamp and look copied from other tools. The description adds no explanation of their role or relevance, so the agent cannot tell if they affect the result. This creates confusion rather than clarity.

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

Purpose4/5

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

The description clearly states the tool returns the current UTC time, which is a specific resource. It is unambiguous about the result, though it lacks a verb. It does not differentiate from the sibling tool 'timezone', so it falls short of full purpose clarity.

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?

There is no guidance on when to use this tool versus alternatives like 'timezone' or other siblings. No context, conditions, or exclusions are provided, leaving the agent to infer usage entirely.

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

C2.6/5.0
Disambiguation3/5

Several URL-focused tools (citation, normalize-url, domain-shape) overlap in what they inspect, though their descriptions do specify different outputs. compatibility and sha256-ok are vague, but most other tools have clearly separate jobs.

Naming Consistency3/5

All names use lowercase hyphenation, but they mix verb-object names (normalize-url, inspect-robots, validate-json) with noun-only or noun-noun names (citation, timezone, status-catalog, iana-zones). This is readable but gives agents no reliable pattern for predicting tool names.

Tool Count4/5

Eleven tools is within a reasonable size for a general-purpose privacy-safe utility server, and no tool is an exact duplicate. The set could be tightened around a single domain, but the count itself is not excessive.

Completeness2/5

The server's domain is too broad and unfocused to define a complete workflow: URL inspection lacks redirect/header coverage, timezone handling lacks conversions, and JSON/hash tools are single-purpose checks. As a result, agents will likely need tools outside this server for related operations.