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

Annotations already declare readOnlyHint, destructiveHint false and closed-world, so safety is covered. The description adds real context beyond them: it discloses the return shape ('step-by-step redesigned flow with friction removed and behavioral principles applied') and the cost ('20 credits (€0.20 per call)'), which an agent needs for budget decisions. It does not say whether the call fails on sparse input or how long a redesign takes, so it is not exhaustive.

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?

Three short lines, front-loaded with the outcome and followed by return and cost details; nothing is padded. The bare 'CONVERT.' token is cryptic in isolation but is still one word spent for a category signal.

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?

An output schema exists, so return values need no elaboration, and the annotations plus the explicit credit cost give an agent the operational picture. The missing piece is any guidance on the required 'current_flow' input, which is essential to calling the tool correctly and is absent from both schema and description.

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% across two parameters, so the description carries the full burden and fails: 'current_flow' (required) is never explained in terms of expected format or granularity, and 'session_id' is not mentioned at all. An agent must guess what to pass.

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 and resource ('Redesign a checkout, signup, or purchase flow') plus the goal ('reduce abandonment'), which is clear enough to separate it from diagnose_dropoff or optimize_onboarding. It stops short of naming the sibling it supersedes, so an agent still has to infer the boundary from the flow-redesign framing alone.

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 purpose implies when to reach for it (an existing flow that leaks conversions), but there is no explicit when-not clause, no prerequisites, and no mention of alternatives such as diagnose_dropoff for diagnosis versus this tool for redesign. Usage is only implied.

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