get_outbound_client_metrics

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

With no annotations, the description carries the burden of behavioral disclosure. It usefully reveals the metric source and that it reflects the caller's view, adding context beyond the name, but it does not describe aggregation, time range behavior, or potential response characteristics.

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 compact sentence that conveys the metric source, what is measured, and the analytical perspective. There is no filler or repetition, and the key differentiating details are presented up front.

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 simple read-only metrics tool with fully documented parameters, the description covers the core semantics well. However, it does not mention output format or how this relates to other metric tools, and with no output schema or behavioral annotations, an agent is left to infer some expectations.

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 100%, so the parameters are already well documented. The description does add the notion of 'downstream target' and dependency perspective, which helps interpret results, but it does not add substantive parameter-level meaning beyond the schema.

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 identifies the tool as providing latency and error rate metrics per downstream target, sourced from http.client.requests, with a specific caller's perspective. It is distinct enough from generic metrics tools, though it lacks an explicit action verb.

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 no guidance on when to use this tool versus alternatives like get_golden_signals, get_endpoint_metrics, or query_metrics. It states what the tool reports but does not provide selection criteria or exclusions.

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