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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds only the vague phrase 'over time' and says nothing about what the series contains (percentiles vs. averages), how granularity interacts with the requested range, retention limits, or behavior when no data exists in the window.

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 single sentence is front-loaded with the verb and resource and contains zero filler. It is not padded, though its brevity is closer to under-specification than to disciplined concision given the tool's five required parameters.

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?

This is a five-parameter, all-required time-series query tool with no output schema, so the description must carry the burden of explaining the shape of the returned metrics and the step/range interaction. It says none of that, leaving an agent unable to predict the response or choose sensible start/end/step values.

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 coverage is 80%, so start/end/step/destination_id are already documented in the schema, and the description adds no extra semantics such as step alignment rules or maximum range constraints. The undocumented workspace_id parameter remains unexplained beyond its name, which the description does nothing to compensate for.

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 names a resource (destination latency metrics) and a scope (over time), which is more than a pure tautology, but it essentially restates the tool name and title verbatim. It draws no boundary against siblings like get_destination_event_metrics or get_transformation_latency_metrics, so an agent must infer which metrics tool to pick.

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?

There is no when-to-use guidance at all: no mention of when latency rather than event metrics is the right call, no prerequisites (destination must be connected), and no statement about alternatives among the many sibling metrics tools. The agent is left to guess from the name alone.

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