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

No annotations exist, so the description carries the full transparency burden. It discloses that the tool sends a verification email, registers the human's email, has a dashboard-side effect tied to server_url, and does not return the final API key. This is detailed, honest behavioral disclosure beyond what the schema could convey.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Every sentence in the description contributes unique value: purpose, consent, server_url consequence, email-code flow, and explicit non-returned outputs. The critical caveat about not returning api_key is front-loaded near the end and clearly isolated from the setup details.

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

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

For a 3-parameter tool with no annotations and an output schema, the description fully covers the registration workflow, parameter effects, follow-up step, and which sibling to call next. It also clarifies the return contract just enough to avoid a common failure mode, while the output schema can handle exact return fields.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 0% schema description coverage, the description must add meaning to parameters. It clearly explains server_url (the MCP server's URL or repo link, drives the dashboard step) and contact_email (receives the 6-digit verification code). However, it does not explain the purpose of the name parameter beyond its schema type.

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

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

The description opens with a specific verb and resource: 'Start publisher registration,' which immediately identifies the operation. It also distinguishes itself from confirm_publisher by explicitly stating this tool does not return the API key and only confirm_publisher does, so the agent can tell the two apart.

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

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

It gives concrete when-to-use guidance: requires human consent, pass server_url when known, expect a 6-digit code, ask the human for that code, then call confirm_publisher(pending_id, code). It also warns what this tool does not do, preventing the agent from expecting api_key or publisher_id prematurely.

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