Dechonet-MCP

WHOIS / RDAP Domain Lookup

whois_lookup

Read-onlyIdempotent

Retrieve domain registration data via RDAP (with WHOIS fallback): registrar, creation/expiry/update dates, nameservers, and EPP status flags, highlighting risk states such as clientHold and pendingDelete. Use this for ownership, lifecycle, and expiry questions about a registered domain. Use dns_lookup instead for live DNS records, or reverse_dns/asn_lookup for IP-level ownership. Read-only; requires no API key; rate-limited. Returns registrar, key dates, nameservers, and status flags.

Input Schema

Name	Required	Description	Default
`domain`	Yes	Registered domain name to look up (e.g., 'example.com'). A subdomain is normalized to its registrable domain.

Output Schema

Name	Required	Description
`kpis`	No	Key metrics as label/value pairs
`grade`	No	Letter grade (A+ to F) when the tool grades the target
`score`	No	0-100 score when the tool scores the target
`issues`	No	Detected problems, severity-rated
`status`	Yes	Overall verdict, e.g. 'good' \| 'warning' \| 'bad' \| 'info' \| 'unknown'
`actions`	No	Recommended next actions, most important first
`summary`	No	One-paragraph interpretation of the result
`receipts`	No	Signed observation receipts behind this result, one per lookup: when, from where and under which rules version DechoNet observed it. Each url shows the record and checks its Ed25519 signature.
`reportUrl`	Yes	Human-facing interactive report for this exact lookup on dechonet.com
`observation`	No	How much was actually observed and when. A partial observation means some checks did not answer: missing parts are not verified, never clean.

Schema Changelog

Changes observed during successful MCP inspections.

Changed1 schema field changedOct 15, 2026

addedOutput schema / properties / receipts

Added value: +{
+  "description": "Signed observation receipts behind this result, one per lookup: when, from where and under which rules version DechoNet observed it. Each url shows the record and checks its Ed25519 signature.",
+  "items": {
+    "properties": {
+      "id": {
+        "type": "string"
+      },
+      "tool": {
+        "type": "string"
+      },
+      "url": {
+        "type": "string"
+      }
+    },
+    "required": [
+      "tool",
+      "id",
+      "url"
+    ],
+    "type": "object"
+  },
+  "type": "array"
+}

Changed1 schema field changedOct 15, 2026

addedOutput schema / properties / observation

Added value: +{
+  "description": "How much was actually observed and when. A partial observation means some checks did not answer: missing parts are not verified, never clean.",
+  "properties": {
+    "ageMinutes": {
+      "type": [
+        "number",
+        "null"
+      ]
+    },
+    "cached": {
+      "type": "boolean"
+    },
+    "observedAt": {
+      "type": [
+        "string",
+        "null"
+      ]
+    },
+    "state": {
+      "enum": [
+        "complete",
+        "partial",
+        "unknown"
+      ],
+      "type": "string"
+    }
+  },
+  "type": "object"
+}

First observedSep 2, 2026

TDQS

A4.4/5.0

Behavior4/5

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

Annotations already declare readOnly, idempotent, non-destructive and open-world, so the safety profile is covered. The description adds genuinely new operational context: RDAP with WHOIS fallback, no API key required, and rate limiting, plus it flags risk states like clientHold and pendingDelete. It stops short of describing pagination or failure modes when a domain is unregistered.

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 retrieval mechanism and payload, then usage guidance and alternatives. The closing sentence ('Returns registrar, key dates, nameservers, and status flags') restates the opening enumeration, a minor redundancy given an output schema already exists.

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?

For a single-parameter lookup with a full output schema and comprehensive annotations, the description covers purpose, alternatives, fallback behavior, auth (no key), and rate limits. Nothing an agent needs to invoke it correctly is missing.

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 coverage is 100% and the sole parameter's schema description already documents the domain format and subdomain normalization. The description adds no parameter-level detail beyond what the schema provides, so the baseline of 3 applies.

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 and resource ('Retrieve domain registration data via RDAP') and enumerates the concrete data returned: registrar, dates, nameservers, EPP status flags. It also names the siblings it is not (dns_lookup, reverse_dns, asn_lookup), so an agent can differentiate without opening other schemas.

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 scopes usage ('ownership, lifecycle, and expiry questions about a registered domain') and routes alternatives by condition ('Use dns_lookup instead for live DNS records, or reverse_dns/asn_lookup for IP-level ownership'). This is exactly the when/when-not/alternatives pattern.

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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