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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so "Read-only" largely restates structured data. What the description does add is that results are "aggregated metrics for the selected time window," which tells the agent values are pre-computed aggregates rather than raw events. It says nothing about default window behavior beyond the schema, latency, or rate limits.

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, metric list front-loaded, with no filler or hedging. The only inefficiency is "Read-only," which duplicates the readOnlyHint annotation and could have carried richer information instead.

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 three-parameter, all-optional read tool with a fully documented schema and read-only annotations, the description covers purpose, metric set, and scope adequately; there is no output schema, so return values need not be spelled out. The one gap is the absence of routing guidance among the many sibling summary tools (dora_trend, org_health, coverage_summary).

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%, with each of the three optional parameters (from, to, teamId) documented including defaults in the schema itself. The description only echoes team filtering and the time window, adding no syntax, format, or boundary detail beyond the schema. Baseline 3 is appropriate when the schema carries the parameter burden.

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 uses a specific verb and resource and enumerates the four DORA metrics (deploy frequency, lead time, change failure rate, MTTR), so an agent knows exactly what this returns. It also states the scope (organization or a specific team). It does not, however, differentiate itself from the sibling get_dora_trend, leaving the agent to infer that this is the point-in-time aggregate rather than the time series.

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 to understand overall engineering delivery performance and reliability" gives an implied usage context, but there is no when-not guidance and no named alternative (e.g., get_dora_trend for trends over time, or get_org_health for a broader view). The agent gets a sense of the tool's role but must infer which sibling to pick for time-series or cross-domain questions.

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