get_load_balancer_amphorae

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

No annotations provided; the description indicates it is a read operation returning JSON, but lacks details on error conditions, authentication, or performance impacts, leaving gaps in transparency.

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 concise but includes structured sections (Args, Returns) which slightly lengthen it; however, every part is informative and not wasteful.

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 one parameter and no annotations, the description adequately covers purpose and return format. It could mention potential pagination or limits, but overall sufficient for a simple list tool.

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?

The single parameter 'lb_name_or_id' is well-described: optional, can be name or ID, and default behavior when empty. This adds significant value beyond the bare schema type 'string'.

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 retrieves amphora instances for a specific load balancer or all amphorae if no ID provided, distinguishing it from sibling tools like get_load_balancer_details or get_load_balancer_list.

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 explains the optional parameter and its default behavior, but does not provide guidance on when to use this tool over alternatives among the many sibling load balancer tools.

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