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Infrastructure Pivot

infrastructure_pivot
Read-onlyIdempotent

Pivot on a nameserver, IP, MX host, certificate issuer or registrar to find other domains sharing that value and map related infrastructure.

Instructions

Find other domains DechoNet has seen with the same infrastructure value — a nameserver, IP address, MX host, certificate issuer or registrar — with first and last seen, to map related infrastructure (e.g. other phishing domains on the same rare nameserver). Use it after domain_history or dns_lookup gives you a distinctive value. Shared infrastructure (CDN edges, public CAs, large registrars and DNS hosts) returns a count only, since sharing it says nothing about ownership. Read-only; REQUIRES a free DechoNet API key (account page; remote: send Authorization: Bearer dn_…, npm: set DECHONET_API_KEY); up to 20 rows per call (higher for some keys); rate-limited. Coverage: only DechoNet's own observations.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
kindYesWhich kind of value to pivot on.
valueYesThe value itself, e.g. 'ns1.example-dns.net' or '203.0.113.9'.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
kindYes
noteNo
totalYes
valueYes
targetsYes
receiptsNoSigned 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.
reportUrlYes
sharedInfraNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv1.5.14

TDQS

A4.8/5.0
Behavior5/5

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

Annotations already declare readOnly/idempotent/non-destructive, and the description goes well beyond them: API-key requirement with exact header and env-var forms, the 20-row-per-call limit, rate limiting, and the key operational caveat that shared infrastructure degrades to a count. Coverage limitation (only DechoNet's own observations) is also disclosed.

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 action and purpose, then layered with the degradation rule, auth requirements and limits. Dense but every clause carries operational information; the auth parenthetical is slightly compressed but not wasteful.

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?

Output schema exists so return values need no explanation, and the description supplies everything else an agent needs: prerequisites, sequencing relative to sibling tools, auth, quota and coverage limits. Nothing material to correct invocation is missing.

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 coverage is 100% with an enum for kind and an example for value, so the baseline is 3. The description adds real meaning by naming which infrastructure categories the enum members correspond to (nameserver, IP address, MX host, certificate issuer, registrar), tying abstract enum strings to concepts, though it does not explain individual enum members one by one.

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 (find) and resource (other domains sharing an infrastructure value) plus the scope of the pivot values (nameserver, IP, MX, certificate issuer, registrar). Gives a concrete motivating example (other phishing domains on the same rare nameserver), so an agent can distinguish it from dns_lookup or reverse_dns without opening either schema.

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?

Explicit about when to use it — 'after domain_history or dns_lookup gives you a distinctive value' — and when it is useless, since shared infrastructure (CDNs, public CAs, large registrars) returns only a count. Both the trigger condition and the negative case are named.

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