Executive summary

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so the safety profile is covered; the description adds genuinely new information about the artifact produced (one-page, markdown, fixed section list) — important because no output schema exists. It omits any note on generation cost/latency or whether missing data degrades sections, which keeps it below a 5.

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, zero filler, with the deliverable and its contents front-loaded before the distribution note. Every clause carries information an agent would otherwise have to guess.

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 return-value burden and does so by enumerating report sections and format. Combined with the well-documented `period` enum, an agent has enough to invoke it correctly; the only gap is the undefined `baseline` parameter.

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?

The `period` parameter is fully enumerated in the schema, but `baseline` has no schema description (50% coverage). The phrase "vs. the previous period" hints at what the comparison baseline means, but the description never explains how `baseline` relates to `period` or what the default comparison is, so it only partially compensates for the coverage gap.

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 the concrete deliverable — a one-page markdown quality report for leadership — and enumerates its sections (bottom line, KPI scorecard vs. prior period, DORA tiers, wins, risks, asks). That is far more specific than a restated name and lets an agent distinguish it from raw-metric siblings like get_dora_metrics or get_kpi_trend. It stops short of naming the closest sibling (export_leadership_dashboard) to draw an explicit boundary.

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?

"For leadership" and "Ready for email, Slack or Confluence" imply the audience and delivery context, so an agent can infer this is the polished roll-up rather than a data-fetch call. There is no explicit when-to-use/when-not guidance and no mention of when to prefer compare_periods or export_leadership_dashboard instead, leaving the routing to inference.

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