Blackveil DNS

brand_audit_batch_start

Queue an asynchronous brand audit for up to 50 domains, with optional deep discovery and aliases, then poll status and fetch the completed report.

Instructions

Enqueue an async brand audit across up to 50 target domains with optional standard/deep discovery depth, brand aliases, and caller-supplied candidate domains. Returns { auditId, queuedAt, targetCount, etaSeconds } immediately; poll with brand_audit_status and fetch results with brand_audit_get_report once complete. Each target consumes 1 unit of the monthly BRAND_AUDIT_QUOTAS budget.

Input Schema

TableJSON Schema

Name	Required	Description
`view`	No	Output view mode. 'registrar_complement' produces a registrar-complement payload; requires enterprise tier. Default 'standard'.
`depth`	No	Discovery depth. standard is default; deep expands candidate seeding and enrichment fanout.
`format`	No	Inline output mode. Defaults to "both".
`domains`	Yes	Domains to audit (max 50 per batch). Duplicates are merged.
`planner_mode`	No	Planner mode for staged discovery fanout. observe emits metrics; enforce applies candidate-backed signal caps.
`brand_aliases`	No	Optional public brand aliases to seed, such as product or legal-entity labels.
`discovery_mode`	No	Brand-discovery pipeline mode. classic = legacy sweep; tiered = tenant/graph/evidence wrappers first (BlackVeil-internal).
`min_confidence`	No	Drop candidates whose combined confidence falls below this threshold (0-1, default 0.5).
`candidate_domains`	No	Optional candidate domains supplied by the caller for corroboration.
`ownership_verified`	No	Caller attests that the target domains are owned or authorized for scanning. Required when discovery_mode is "tiered" and the caller is not an enterprise/owner/partner principal.

Output Schema

TableJSON Schema

Name	Required	Description	Default
`score`	Yes
`passed`	Yes
`partial`	No
`category`	Yes
`findings`	Yes
`checkStatus`	No
`verdictWithheld`	No

Schema Changelog

Changes observed during successful MCP inspections.

Changed1 schema field changedv3.98.1Oct 5, 2026
- addedOutput schema / properties / verdictWithheld
```
Added value: +{
+  "type": "boolean"
+}
```

Changed2 schema fields changedv3.78.0Sep 9, 2026

changedInput schema / properties / view / description

Previous value: -"Output view mode. 'csc_complement' produces a CSC-tuned payload; requires enterprise tier. Default 'standard'."New value: +"Output view mode. 'registrar_complement' produces a registrar-complement payload; requires enterprise tier. Default 'standard'."

changedInput schema / properties / view / enum

Previous value: -[
-  "standard",
-  "csc_complement"
-]New value: +[
+  "standard",
+  "registrar_complement"
+]

Changed2 schema fields changedv3.54.0Aug 19, 2026
- addedOutput schema / properties / checkStatus
```
Added value: +{
+  "type": "string"
+}
```
- addedOutput schema / properties / partial
```
Added value: +{
+  "type": "boolean"
+}
```
First observedv3.29.7Jul 5, 2026

TDQS

A4.3/5.0

Behavior4/5

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

Annotations cover safety (readOnlyHint=false, destructiveHint=false, openWorldHint=true, idempotentHint=false), and the description adds genuinely useful behavior beyond them: the call is async and returns immediately, results must be polled, and each target consumes 1 unit of the monthly BRAND_AUDIT_QUOTAS budget. That quota cost is exactly the kind of context an agent needs before calling.

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?

Three tight sentences: what it does and its limits, what it returns, how to follow up, and what it costs. Front-loaded with the action and scope, with zero filler.

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 10-parameter async job-starter with a full output schema, the description covers everything an agent needs: scope limits, async semantics, the follow-up tool chain, and quota impact. Return-value details are correctly left to the output schema.

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%, so all 10 parameters are already documented in the schema, including enums for depth, discovery_mode, and view. The description names a few of them (discovery depth, brand aliases, candidate domains) and repeats the 50-domain cap, adding marginal value over the structured data. Baseline 3 is appropriate.

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 ('Enqueue an async brand audit') plus scope (up to 50 target domains), which cleanly separates it from brand_audit_single and the status/report siblings. An agent can identify the tool without opening the schema.

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 routes the agent through the workflow: poll with brand_audit_status, fetch results with brand_audit_get_report once complete. It does not explicitly contrast with brand_audit_single, but the 'batch/up to 50 domains' framing makes the choice obvious.

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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