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

With no annotations provided, the description carries the full burden, and it does so well: it discloses that this is a mutation of an existing own reservation, that it cannot affect other participants' reservations, and that it follows partial-update semantics. It does not describe error behavior or side effects, but the key behavioral constraints are clearly stated.

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 well-structured: a front-loaded lead sentence with examples and restrictions, followed by a clear Args list. Every sentence adds relevant information, making it easy for an agent to scan purpose, constraints, and parameters.

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 five-parameter mutation tool with no annotations and no output schema, the description is fairly complete: it covers purpose, scope, partial updates, and all parameters. It does not describe return values or failure conditions, but an agent has enough information to invoke the tool correctly for the stated use case.

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 Args section compensates by giving every parameter a meaningful description: gift_id identifies the gift with an existing own reservation, notify_on_changes explains event-change notifications, and counts and message are defined. The partial-update guidance adds semantic value beyond the schema, although constraints like allowed count ranges are not specified.

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 identifies a specific operation (update own reservation/confirmation), a specific resource (a gift on someone else's list), and gives concrete examples such as changing adult/child counts or the message. It also clearly scopes the tool to the caller's own reservations, distinguishing it from sibling tools like reserve_gift, cancel_my_reservation, and update_gift.

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 clearly establishes when to use the tool: when a guest already has a reservation on a gift and wants to modify it. It explicitly excludes other guests' reservations and instructs the agent to send only changed fields. It does not name alternative tools explicitly, but the scope and examples make the intended use unambiguous.

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