clm_site_equipment_command_send_open_equipment_booking_mail

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

The description adds valuable behavioral context beyond the annotations: the command is queued on a message queue, the endpoint returns immediately without waiting, and the email is sent in every supported language. The destructiveHint=true annotation is not directly contradicted; sending an email is an irreversible side-effecting operation, though the description does not spell out whether any data is modified or destroyed.

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, well-structured sentence with no wasted words. It front-loads the core action (queues a background command), then provides the target condition, email type, language scope, and return behavior. Every phrase contributes useful information.

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 one-parameter tool with an output schema, the description covers the essential context: what action is performed, for which bookings, and the async behavior. It could be more complete by explicitly warning against use for approved bookings or referencing a sibling email tool, but this is a minor gap given the tool's simplicity.

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 carries the burden. It adds meaningful semantic context by indicating the target is a still-open/unapproved site equipment booking, which lets an agent infer that EquipmentBookingId identifies such a booking. However, it does not explicitly explain that EquipmentBookingId must be supplied, what format it should take, or that null is likely invalid for the intended operation.

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 verb and resource: it queues a background command that sends a 'booking requested' reminder email for open/unapproved site equipment bookings. It also clearly differentiates this from sibling email tools by naming the resource type and the exact condition (still-open, unapproved). The async queue behavior is explicitly stated, leaving no ambiguity about what the tool does.

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 clear usage context: use it for still-open, unapproved site equipment bookings, and it explains the async nature and immediate return. It does not explicitly name alternative tools or state when not to use it beyond the 'unapproved' condition, so it falls short of full alternative/exclusion guidance.

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