Conciseness

The body is dense with genuinely non-obvious domain knowledge (MPL gotchas, $__interval mechanics, cardinality warnings, shell-quoting traps) and never pads with concepts Claude already knows. A few spots could be trimmed — the full request-body JSON example, the enumerated resolution ladder, and the largely self-evident 401/404 rows of the error table — so it does not reach "every token earns its place" at anchor 5, but it is well above anchor 3.

Actionability

Every workflow step is an exact executable invocation, the two example queries plus the parameters example are copy-paste ready, and the flag/parameter tables give concrete values. Verified against the bundle: all referenced scripts (datasets, metrics-spec, metrics-info, metrics-query, axiom-api, resolve-url, setup) exist with matching usage strings.

Workflow Clarity

The numbered workflow gates composition behind a required step ("metrics-spec — required before composing any query"), adds a pre-query check (read {type, temporality, unit} before writing the query), and the Error Handling section supplies explicit feedback loops: read the annotated 400 pointer and fix, back off on 429, capture the trace ID on 500. No destructive/batch operations, so no validation cap applies.

Progressive Disclosure

Section structure is good and the deep MPL material is properly delegated one level deep to the runtime-fetched scripts/metrics-spec ("the spec is the source of truth"), but the setup/prerequisites pointer "see README.md" references a file that does not exist in the bundle — a broken navigation path for anyone needing configuration. Between anchors 3 and 4, the dangling reference is more than a minor organization gap, landing at 3 rather than 4.

Specificity

"Runs metrics queries against Axiom MetricsDB via scripts. Discovers available metrics, tags, and tag values." names the domain plus several concrete actions (run queries, discover metrics, tags, tag values). It is not 5 because coverage has minor gaps (nothing about query composition guidance or the MPL spec lookup); not 3 because it lists more than 1-2 concrete actions.

Completeness

Both halves are explicit: what it does ("Runs metrics queries… Discovers available metrics, tags, and tag values") and when to use it ("Use when asked to query metrics, explore metric datasets, check metric values, or investigate OTel metrics data") with concrete trigger phrases — a direct match for the anchor-5 example pattern. Not 4, since the when-clause is already specific rather than generic.

Trigger Term Quality

The when-clause supplies natural phrases users would say — "query metrics", "explore metric datasets", "check metric values", "investigate OTel metrics data" — plus the product name "Axiom MetricsDB". A few natural synonyms are missing (e.g. "telemetry", "time series", "monitoring"), so it sits between anchor 4 and 5 but closer to 4.

Distinctiveness Conflict Risk

"Axiom MetricsDB" and "OTel metrics data" carve a clear niche with metric-specific triggers, so confusion with sibling observability skills (logs, traces) is unlikely. The triggers are consistently metrics-scoped, matching the minimal-conflict anchor.