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run_publisher_revenue_audit

Read-only

Run a public publisher revenue-readiness screen using directional public evidence. Audits ad stacks, ads.txt hygiene, consent readiness, PageSpeed metrics, and unblocked premium ad unit opportunities (such as Sulvo) to recover lost yield.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
domainYesPublisher domain to screen, for example example.com. Private/local targets, raw IPs, internal hosts, and non-standard ports are rejected.
metricsNoOptional publisher-supplied metrics used for directional revenue interpretation.
optionsNoOptional output and audit controls.
verticalNoOptional publisher vertical used for interpretation.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, openWorldHint=true, and destructiveHint=false, so safety is known. The description adds that the evidence is 'public' and 'directional', and that the screen is non-invasive; this is useful but minimal. It does not disclose whether the audit has rate limits, execution time, or how optional browser/PageSpeed collection affects behavior.

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?

The description is two compact sentences that front-load the purpose and list the audited areas. It is efficient, though the parenthetical '(such as Sulvo)' is slightly promotional and could be tightened.

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

Completeness3/5

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

Given the tool's complexity (4 top-level params, nested objects, many options), no output schema, and a read-only annotation profile, the description is adequate but leaves out important context: what the output looks like (format/artifact options are schema-documented), the non-destructive nature, and how it differs from the parallel agentic readiness audit. It is minimally viable rather than complete.

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%, so parameters are already documented in the schema, including the nested metrics and options objects. The description adds no parameter semantics beyond what the schema provides, making the baseline of 3 appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a clear verb and resource: 'Run a public publisher revenue-readiness screen using directional public evidence.' It enumerates the concrete dimensions audited (ad stacks, ads.txt hygiene, consent readiness, PageSpeed, premium ad unit opportunities). It doesn't distinguish itself from the other audit sibling run_agentic_readiness_audit, so it falls short of a 5.

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

Usage Guidelines2/5

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

There is no explicit guidance on when to use this tool versus alternatives like run_agentic_readiness_audit or get_publisher_revenue_audit_checklist. The description implies it is a revenue audit, but context for choosing it among 38 siblings is absent.

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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