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Sairen

by 1tylermitchell
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JavaScript
Remote

get_precision_time

Obtain nanosecond-precision UTC timestamps and round-trip network delay telemetry from independent Stratum-1/2 NTP sources to correct clock drift and synchronize multi-agent systems.

Instructions

    [Free Promotional Preview / Zero Auth] External Stratum-2 NTP oracle and atomic UTC time synchronization.
    Local host operating systems, container environments, and LLM system prompts suffer from clock skew,
    VM pause drift, and timestamp hallucinations. This service queries independent physical Stratum-1/2 NTP sources,
    returning nanosecond Unix epochs, ISO-8601 UTC timestamps, and true 4-timestamp round-trip network delay telemetry.
    Use this tool when establishing multi-agent consensus, verifying time-locked trade deadlines, audit logging,
    or detecting local clock drift across multi-cloud agent swarms.

    Args:
        payment_signature: Optional x402 Base USDC transaction hash or developer mock key.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
payment_signatureNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.3.0

TDQS

A4.3/5.0
Behavior4/5

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

With no annotations provided, the description carries the full behavioral burden. It discloses that the tool is a 'Free Promotional Preview / Zero Auth' external service, queries independent Stratum-1/2 NTP sources, and returns specific telemetry. This gives useful expectations about network dependence and output, even if it doesn't mention failure modes or rate limits.

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 front-loaded with the key 'Free Promotional Preview / Zero Auth' context and then gives concrete use cases and output details. It is slightly verbose with the clock-skew motivation, but every sentence contributes useful context and the structure is logical.

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

Completeness4/5

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

The description includes what the tool returns, why it exists, when to use it, and the one optional parameter. Without an output schema, this is reasonably complete for an agent to invoke the tool and interpret results, though error cases and exact response formatting are not specified.

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?

Schema description coverage is 0%, so the description must explain the parameter. It does: 'payment_signature: Optional x402 Base USDC transaction hash or developer mock key.' This adds meaning beyond the raw schema, though 'developer mock key' is somewhat vague and could be more explicit.

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 identifies the tool as an external NTP oracle and atomic UTC time synchronization service, with specific outputs: nanosecond Unix epochs, ISO-8601 UTC timestamps, and round-trip delay telemetry. It uses a specific verb and resource, distinguishing it from unrelated sibling tools.

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 explicitly lists use cases: 'establishing multi-agent consensus, verifying time-locked trade deadlines, audit logging, or detecting local clock drift.' It provides clear context for when to use the tool, though it does not explicitly name alternatives or when-not-to-use conditions.

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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