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

Annotations declare readOnlyHint=true and openWorldHint=true, which already communicate that the tool is safe and can handle unknown inputs. The description adds the constraint that it preserves days, times, and channels, which is useful behavioral context. However, it does not elaborate on side effects, permissions, or how open-world handling works, so it adds only modest value beyond the 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 a single, focused sentence that front-loads the core action ('Rewrites every step of a situation's follow-up cadence') and includes the key constraint (keeping days, times, and channels). There is no redundant or filler content; every word contributes.

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?

Given the tool has 7 parameters and no output schema, the description should explain what the output looks like and how each parameter contributes. It does not describe the return format or the purpose of most parameters. The annotations cover safety, but the description lacks essential operational details, making it incomplete for an agent to call correctly without further inference.

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 only 14% (only the 'customer' parameter has a description). The description mentions 'the customer you describe' but does not explain the roles of rep, vehicle, situation, dealership, day_and_time, or customer_first_name. Since the schema is sparse, the description should compensate by clarifying these parameters, but it does not. It adds meaning to the customer parameter but leaves the rest ambiguous.

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 states a specific action: rewrites every step of a situation's follow-up cadence for a specific customer, while preserving days, times, and channels. This clearly distinguishes it from sibling tools like follow_up_cadence (which likely creates a generic cadence) and rewrite_follow_up_text (which rewrites text content).

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 provides no guidance on when to use this tool versus alternatives. It does not mention any exclusions or reference sibling tools such as follow_up_cadence or rewrite_follow_up_text, leaving the agent to infer the appropriate context. No when-to-use or when-not-to-use criteria are given.

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