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

Annotations already declare readOnlyHint=true and idempotentHint=true, so the safety profile is covered structurally. The description adds the aggregate nature of the call and the metric categories it returns, but no behavioral detail beyond that (e.g. cost, latency, freshness of data). An output schema exists, so return-value disclosure is not needed here.

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?

Two sentences, no filler, and the core purpose is front-loaded before the usage hint. The middle metric enumeration is dense but earns its place by conveying scope.

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?

With annotations covering safety, a fully documented single parameter, and an existing output schema, the description supplies enough for an agent to call it correctly. The only shortfall is the absence of explicit sibling disambiguation in a crowded toolset.

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?

There is a single parameter (period) and schema description coverage is 100%, with the enum values and the rolling_30d default fully documented in the schema. The description adds nothing about period semantics, so the baseline of 3 applies.

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?

States a clear verb (Get) and resource (team health overview) and enumerates the metric families it aggregates (activity, DORA, collaboration, efficiency) under an explicit SPACE framework. This gives strong cross-domain scope, but it does not explicitly distinguish itself from adjacent siblings such as get-dora-metrics-tool or get-team-insight-summary-tool.

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 phrase 'Use this for a single-call snapshot of team engineering health' gives an implied usage context (aggregate view). However, it names no alternative sibling and provides no when-not guidance, so with many overlapping team/insight tools the routing decision is left to inference.

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