programmatic_brand_safety_auditor
Evaluates programmatic ad inventory for brand safety risks using IAB Tech Lab's standards and GDPR-compliant tracking methods. Designed for ad revenue operations teams to assess inventory quality before bidding. Inputs include domain, page URL, and optional contextual signals. Outputs a structure...
This record as markdown: /tools/io-github-getgapup-mcp-knowledge/programmatic-brand-safety-auditor.md
What programmatic_brand_safety_auditor does on Mcp Knowledge
AI agents call programmatic_brand_safety_auditor to retrieve information from Mcp Knowledge without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
url | string | Yes | Full page URL being evaluated |
async | boolean | — | If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client ti |
domain | string | Yes | Root domain of the inventory (e.g., 'example.com') |
categories | array | — | Optional IAB content categories for contextual analysis |
gdprConsent | string | — | GDPR consent string (TCF v2.0) |
Parameters from the server's own tool schema.
Why programmatic_brand_safety_auditor is rated Low
The tool reads and analyzes ad inventory data, producing a structured report/score. It does not modify data, execute commands, or trigger financial transactions. It queries contextual signals and domain/URL inputs to assess risk — a read/analysis operation. Severity is medium because misuse could influence bidding decisions with financial implications, but the tool itself only outputs analysis.
From the tool's definition Evaluates programmatic ad inventory for brand safety risks... Outputs a structured brand safety score with risk categorization and compliance warnings.
Risk signalsAccepts URL/endpoint input (url)
Attacks that exploit this kind of access
The rule that runs programmatic_brand_safety_auditor safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Mcp Knowledge, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For programmatic_brand_safety_auditor, this is the rule to start with:
programmatic_brand_safety_auditor is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Mcp Knowledge, apply this rule, and every programmatic_brand_safety_auditor call is checked against it from then on.
Questions about programmatic_brand_safety_auditor
Evaluates programmatic ad inventory for brand safety risks using IAB Tech Lab's standards and GDPR-compliant tracking methods. Designed for ad revenue operations teams to assess inventory quality before bidding. Inputs include domain, page URL, and optional contextual signals. Outputs a structured brand safety score with risk categorization and compliance warnings. It is categorised as a Read tool in the Mcp Knowledge MCP Server, which means it retrieves data without modifying state.
programmatic_brand_safety_auditor accepts 5 parameters: url, async, domain, categories, gdprConsent. Required: url, domain. The full parameter table on this page comes from the server's own tool schema.
Register the Mcp Knowledge MCP server in PolicyLayer and add a rule for programmatic_brand_safety_auditor: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Mcp Knowledge. Nothing to install.
programmatic_brand_safety_auditor is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the programmatic_brand_safety_auditor rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for programmatic_brand_safety_auditor. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
programmatic_brand_safety_auditor is provided by the Mcp Knowledge MCP server (https://mcp.gapup.io). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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