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iracic82

infoblox-ddi-mcp

by iracic82

diagnose_dns

Read-only

Diagnose DNS resolution issues for a domain by verifying zone status, records, and security policies. Get a report with recommendations to restore resolution.

Instructions

Diagnose DNS resolution problems for a domain: checks zone, records, and security policies. USE THIS when a domain isn't resolving or has DNS issues. For IP-level issues use diagnose_ip_conflict(). For infrastructure-wide health use check_infrastructure_health().

Args: domain: Domain name to diagnose (e.g., "web-prod-01.example.com" or "example.com") view: Optional DNS view name or ID. Required when a zone exists in multiple views (e.g., "default", "Azure.private-2") flush_cache: If True, flushes the DNS cache for the domain before diagnosing. Useful when DNS changes aren't propagating. ASK the user before flushing.

Returns: Diagnostic report with zone status, records found, and recommendations

Examples: - diagnose_dns(domain="app.example.com") → checks zone, A/AAAA/CNAME records, security - diagnose_dns(domain="app.example.com", view="default") → checks in specific view - diagnose_dns(domain="app.example.com", flush_cache=True) → flushes cache then diagnoses

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
viewNo
domainYes
flush_cacheNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior5/5

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

Beyond the readOnlyHint annotation, the description discloses the flush_cache behavior, which mutates DNS cache state, and instructs to ASK the user before flushing. It also notes when 'view' is required, adding contextual constraints not in annotations.

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 well-organized with sections for summary, usage, args, returns, and examples. Every sentence provides necessary information, and examples clarify usage without redundancy.

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

Completeness5/5

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

Given the tool's complexity (3 params, one required) and presence of output schema, the description still summarizes the return report. It covers alternatives, parameters, side effects, and examples, making it fully self-contained for correct invocation.

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

Parameters5/5

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

Schema has 0% description coverage, but the description fully documents each parameter: domain with examples, view with requirement context, and flush_cache with usage and caution. This adds substantial meaning beyond the schema.

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 states a specific action: diagnose DNS resolution problems, and specifies the scope (zone, records, security policies). It distinguishes from sibling tools by pointing to diagnose_ip_conflict for IP-level issues and check_infrastructure_health for infrastructure-wide health.

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

Usage Guidelines5/5

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

Explicitly states when to use: 'USE THIS when a domain isn't resolving or has DNS issues.' It names alternatives for IP-level and infrastructure-wide issues, giving clear context for tool selection.

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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