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

With no annotations, the description carries the full burden and does it well. It discloses that the sequence is created as a draft, that a human must later activate and enroll contacts, that consent and tier quotas apply at that later stage, and that email steps are sent only to opted-in contacts. This is strong behavioral disclosure for a creation tool with no structured annotations.

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?

The description is compact and front-loaded with the most important fact (DRAFT). The step definitions are concise, use consistent structure, and every clause adds either behavioral context or parameter meaning. No filler or redundancy beyond the useful repeated emphasis on draft.

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 the tool's complexity, the description covers purpose, usage triggers, parameter shapes, side-effect behavior, and post-creation workflow. The main gap is the missing explicit mention of the required 'name' parameter and the lack of any return-value information, since there is no output schema to provide that context.

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?

Schema description coverage is 0%, but the description compensates by explicitly naming the three step types and their key fields: message (text, optional platform, delay_minutes), delay (delay_minutes), and email (subject, body, opted-in note). However, it omits the required top-level 'name' parameter entirely and does not mention the optional 'description' parameter, so compensation is incomplete.

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: 'Create a drip sequence as a DRAFT.' The DRAFT qualifier clearly distinguishes this from sibling creation tools like create_flow or activate_flow, and the phrasing tells an agent exactly what object is produced.

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?

The description gives explicit user-intent triggers ('make a 3-day welcome sequence', 'build a nurture cadence', 'email drip for my newsletter leads'), so an agent knows when this tool is appropriate. It doesn't name alternatives or give when-not-to-use guidance, but the examples and the draft vs. activate distinction provide clear usage context.

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