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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false, so the trailing 'Read-only' sentence adds nothing and is essentially a restatement. The valuable addition is 'Combines DORA and flow metrics in a single response,' which tells the agent this aggregates multiple metric families and can substitute for several calls; nothing is said about latency, caching, or behavior for an unknown teamId.

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?

Three short sentences, front-loaded with what is returned and then the usage trigger. The only waste is the redundant 'Read-only' closer, which duplicates readOnlyHint.

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 single-parameter read tool with full annotation coverage and no output schema, the description supplies enough: it lists the metric families returned and the use case. It could go further by describing the shape of the response (e.g., top-level DORA vs. flow sections) or failure behavior for a bad teamId, but nothing essential is missing.

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?

With one parameter at 100% schema description coverage, the schema already explains teamId and even points to list_teams for discovery. The description adds no formatting, prefix, or sourcing detail beyond that, so it sits at the baseline for a schema-covered parameter.

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?

Names a specific verb and resource ('Get details and metrics for a specific team') and enumerates the returned content (DORA performance, cycle time, member count). It is clearly narrower than siblings like get_org_health or get_dora_summary, though it never explicitly states that contrast.

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?

'Use this when asked about a specific team's engineering health' gives a clear positive trigger tied to a single-team scope, which implicitly separates it from org-wide siblings. It stops short of naming alternatives or exclusions (e.g., when to prefer get_dora_summary or list_team_members instead).

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