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g-hyeong

Logging Advisor MCP

by g-hyeong

validate_production_readiness

Validate logging safety for production deployment. Assesses security, performance, observability, and compliance to deliver a GO/NO-GO decision.

Instructions

Final logging safety validation before production deployment

When used: Automatically executed after suggest_improvements completion or when final pre-deployment inspection is needed

Strict GO/NO-GO determination:

  • Immediate NO-GO if even one Critical issue exists

  • Comprehensive evaluation of security, performance, operational stability

  • Focus on actual service failure possibilities

5-stage safety validation: 1 Security Gate: Complete sensitive data blocking (password, token, PII) 2 Performance Gate: Prevent service performance blocking 3 Observability Gate: Ensure incident response capability 4 Operational Gate: Monitoring system integration 5 Compliance Gate: Regulatory compliance (GDPR, audit)

Deployment decision:

  • GO: Safe to deploy

  • CONDITIONAL GO: Deploy with caution due to limited risks

  • NO-GO: Deployment prohibited, fixes required

Critical Blockers: console.log, sensitive data exposure, synchronous I/O logging, error ignoring

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
languageYesProgramming language - provides language-specific validation checklist
environmentNoTarget deployment environment - staging: relatively lenient, production: strict standardsproduction
knownIssuesNoKnown issues from previous analysis (optional) - helps focus validation on specific areas
serviceCriticalityNoService criticality - low: internal tools, medium: general services, high: core services, critical: financial/healthcarehigh

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.1.1

TDQS

A4.1/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does so well: it discloses the GO/CONDITIONAL GO/NO-GO decision logic, the 5-stage gate structure, and concrete critical blockers (console.log, sensitive data, sync I/O). It omits read-only/auth/rate-limit characteristics, keeping it from a 5.

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?

Front-loaded with the core purpose, then organized into labeled sections that are scannable. It is long, but since there is no output schema, the decision-outcome taxonomy earns its space; a few stage descriptions are borderline restatements.

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?

Given no output schema, the description appropriately explains the possible verdicts and the gating criteria an agent needs to interpret results. It stops short of describing return payload shape or where findings surface, a minor gap.

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%, and the description does not add meaning beyond the schema's field descriptions (language, environment, knownIssues, serviceCriticality). Baseline 3 applies when the schema already documents all parameters.

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?

States a specific verb (validate) and resource (logging safety for production readiness) in the opening line. It also distinguishes itself from sibling suggest_improvements by declaring that it runs after that tool's completion.

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?

Explicitly states when it runs ('after suggest_improvements completion') and the triggering condition ('final pre-deployment inspection needed'). It lacks an explicit when-not or an alternative for the pre-final case, so it falls just short of 5.

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