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

The annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and openWorldHint=true, so the trailing 'Read-only.' sentence adds nothing and merely restates them. The one genuinely useful behavioral detail is that omitting metric returns all four series rather than a default or an error, but nothing is said about the granularity of the returned points or response shape.

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 the purpose and with zero filler. The final 'Read-only.' clause is the one element that doesn't earn its place, since annotations already cover it.

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 no output schema, the description carries the burden of describing what comes back, and it does not say whether the result is a per-day series, how the four series are keyed, or what happens with sparse data. Coverage is adequate to call the tool but not enough to set expectations about the response.

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 schema already documents days (default 90, max 365), the metric enum, and teamId filter. The description only reinforces the omit-for-all-four behavior for metric, which the schema also states, and never mentions the teamId filter or the days window.

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 specific verb (Get) and resource (daily DORA metric trend) and enumerates the four metrics it can return, which makes the tool's output scope unambiguous. The most relevant sibling, get_dora_summary, is never named, so the trend-vs-snapshot distinction has to be inferred from the word 'trend' rather than being explicit.

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?

'Useful for spotting regressions or improvements across releases' gives a use case but no explicit when-to-use/when-not or alternative tool. An agent is left to infer on its own that a point-in-time rollup should go to get_dora_summary instead of this tool.

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