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IBM

chuk-mcp-time

by IBM

compare_system_clock

Detect system clock drift by comparing local time against trusted NTP servers. Use to identify time misconfigurations and ensure accurate system timing.

Instructions

Compare system clock against trusted NTP time sources.

Useful for detecting system clock drift or misconfiguration. Queries NTP
servers and reports the difference between system time and consensus time.

Args:
    mode: Accuracy mode - "fast" or "accurate"

Returns:
    ClockComparisonResponse with comparison data

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modeNofast
Behavior3/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It describes the action ('queries NTP servers and reports the difference') and mentions the return type ('ClockComparisonResponse'), but lacks details on permissions, rate limits, or error handling. It adds some context (e.g., NTP sources) but is not comprehensive for a tool with potential network dependencies.

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?

The description is appropriately sized and front-loaded, with the core purpose in the first sentence, usage context in the second, and parameter/return details in a structured format. Every sentence adds value without redundancy, making it efficient and easy to parse.

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?

Given the tool's moderate complexity (network queries, time comparison) and lack of annotations and output schema, the description is adequate but has gaps. It covers purpose, usage, and parameters, but does not detail the response structure (beyond naming it) or potential errors. For a tool with no structured output, more information on return values would improve completeness.

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?

The schema description coverage is 0%, so the description must compensate. It documents the single parameter 'mode' with its purpose ('accuracy mode') and possible values ('fast' or 'accurate'), adding meaningful semantics beyond the bare schema. However, it does not explain the practical differences between modes (e.g., speed vs. precision trade-offs).

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?

The description clearly states the specific action ('compare system clock against trusted NTP time sources') and resource ('system clock'), distinguishing it from sibling tools like get_local_time or get_time_utc by focusing on verification rather than retrieval. It explicitly mentions detecting 'system clock drift or misconfiguration,' which further clarifies its unique purpose.

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

Usage Guidelines4/5

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

The description provides clear context for when to use this tool ('useful for detecting system clock drift or misconfiguration'), but does not explicitly state when not to use it or name alternatives among siblings. It implies usage for verification purposes, which helps differentiate from time retrieval tools, though lacks explicit exclusions.

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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