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Lulu Ads — Publisher Concierge

Confirm Publisher

confirm_publisher

Complete publisher registration with the emailed 6-digit code. Returns publisher_id, one-time api_key, and a code snippet for the publisher's stack. Pass the framework you actually use — fastmcp | python | typescript | skybridge | langgraph | crewai | generic | openclaw — or leave it for the FastMCP default.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
codeYes
frameworkNofastmcp
pending_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / properties / framework
      Added value: +{
      +  "default": "fastmcp",
      +  "type": "string"
      +}
  2. Added

TDQS

A3.9/5.0
Behavior3/5

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

With no annotations, the description carries the burden of disclosing behavior. It reveals that it returns a one-time api_key and defaults to FastMCP, but it does not mention side effects such as the registration being permanently completed, the code being consumed, or error behavior.

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?

Two compact sentences with no filler. The action is front-loaded, and the framework options are efficiently listed in a single pipe-delimited group.

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?

The description covers the action, return values, and framework choices, and the output schema exists. However, it omits pending_id semantics and any guidance on failure or edge cases, which are needed for a confirmation step with no annotations.

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 0%, so the description must add meaning. It does so for code ('emailed 6-digit code') and framework (valid values and default), but pending_id is left entirely to inference from its name and the phrase 'publisher registration.'

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?

The description states a specific verb and resource: 'Complete publisher registration' with the emailed 6-digit code. This clearly distinguishes it from siblings like create_publisher (creation) and verify_integration (post-registration validation).

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?

It gives clear context for when to use the tool: after receiving the emailed code, to finish registration. It also provides guidance on the framework parameter, but it does not explicitly state when not to use it or name alternatives.

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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