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

Discloses behavior well beyond the annotations: it acts by creating the app, migrating data, and switching the URL, the owner is emailed, the URL is stable and visitor data preserved, and refusals change nothing while returning a complete list of reasons. Annotations cover idempotency/non-destructiveness, and the description complements them with concretely what happens and what is preserved.

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?

Front-loaded with the core action and its effect, and every sentence carries information (acting behavior, prerequisites, check mode, refusal semantics). Some clauses, such as the pricing and founding-cohort details, are verbose relative to what an agent needs to invoke it correctly.

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 complex, side-effecting operation with no output schema and only two parameters, the description covers what the tool does, prerequisites, the dry-run option, and post-refusal behavior. Nothing an agent needs in order to call it safely appears to be missing.

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%, so the description must carry parameter meaning. It explains `check=true` precisely (get the verdict with no side effects) and characterizes `dropId` as one of the caller's drops; the schema's pattern handles the format. This substantially compensates for the coverage gap, though dropId's identity/format is left to the schema.

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?

States a specific verb (GRADUATE) with an explicit resource and target (a drop to tier 4), and spells out concretely what results: a real backend behind the SAME URL with data carried over. An agent can distinguish this synthesis operation from siblings like dropyour_publish or dropyour_release without opening a schema.

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?

Gives clear context for when to use it (graduating a drop to a real backend) and prerequisite conditions (account token, ACTIVE app subscription, application from the Grow space). It does not explicitly name alternative tools or the conditions that would route an agent to a sibling instead, so it falls short of full when/when-not guidance.

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