add_load_balancer_target

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

With no annotations provided, the description carries the full burden of behavioral disclosure but offers none. It doesn't indicate if this is a mutation (likely yes), what permissions are required, potential side effects (e.g., affecting load balancer traffic), or error conditions. This leaves the agent with insufficient information to use the tool safely.

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, direct sentence with zero wasted words. It's front-loaded with the core action and resource, making it efficient and easy to parse. Every word earns its place, though it sacrifices detail for brevity.

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's complexity (6 parameters with nested objects, no output schema, and no annotations), the description is incomplete. It lacks details on behavior, parameters, and expected outcomes, making it inadequate for safe and effective use. The conciseness comes at the cost of necessary context.

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 but adds no parameter information. It doesn't explain the six parameters (e.g., 'id', 'type', 'server'), their relationships (e.g., 'type' determines which nested object to use), or usage examples. This leaves critical input details undocumented.

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 action ('Add') and resource ('a target to a load balancer'), making the purpose immediately understandable. It distinguishes from siblings like 'create_load_balancer' or 'remove_load_balancer_target' by focusing on target addition. However, it doesn't specify what a 'target' entails (e.g., server, IP, label selector), which prevents a perfect score.

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?

No guidance is provided on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., needing an existing load balancer), exclusions, or comparisons with siblings like 'add_load_balancer_service'. The description assumes context without explicit instructions.

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