book_room

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions authentication via cookie and user info with fallbacks to env vars, but lacks details on permissions, error handling, rate limits, or what happens on success/failure. For a mutation tool with zero annotation coverage, this is insufficient.

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 appropriately sized and front-loaded with the core purpose. The Args section is structured but could be more concise by integrating details into the main text. Every sentence adds value, though minor streamlining is possible.

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 5 parameters with 0% schema coverage and no annotations, the description partially compensates with parameter semantics. However, as a mutation tool with an output schema (not detailed here), it lacks behavioral context like success criteria or error cases. It's adequate but has clear gaps in usage and transparency.

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 compensate. It adds meaningful semantics for all parameters: 'datetime_range' specifies its purpose, 'meeting_room_name' clarifies it's for naming, 'user_info' and 'cookie' explain fallback mechanisms, and 'summary' notes the default. This goes beyond the bare schema, though some details like format specifics are missing.

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 clearly states the tool's purpose with a specific verb ('Book') and resource ('a room'), and it specifies the API ('Dish Manchester API'). This distinguishes it from sibling tools like 'cancel_booking' and 'check_availability_and_list_bookings' by focusing on creation rather than cancellation or checking.

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 its siblings. It does not mention alternatives like 'check_availability_and_list_bookings' for verifying room availability before booking, nor does it specify prerequisites or exclusions, leaving the agent without context for tool selection.

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