Conciseness

The body is dense and mostly non-obvious (discriminator table, severity bands, Vary gotchas, the lru_cache mechanism), but the core identity-gaps-are-disclosures / presentation-gaps-are-correctness framing is restated at least four times — in the intro ("Triage it as a security defect, not as a performance or freshness issue"), the discriminator-table preamble ("Identity and authorization discriminators come first... their absence produces wrong content, which is a correctness defect and not a disclosure"), derivation step 6, and the exclusions section — and the opening rhetoric ("The worst version of this is not slow, and it is not stale") plus the ~20-line 'What this audit does not cover' section could be cut to a few lines. This sits between 'some unnecessary explanation or could be tightened' (3) and 'minor instances of over-explanation' (4); it is not 4 because the repetition is systematic rather than minor, and not 2 because almost nothing explains basics Claude already knows — no token is spent on what caching or HTTP is.

Actionability

Fully executable throughout: a complete, copy-paste key-builder function with a keyword-only mandatory tenant_id that raises; exact HTTP directives ("Cache-Control: private, max-age=300" / "Vary: Authorization, Accept-Language, X-Tenant-Id"); a before/after worked example with the literal key strings ("dashboard:1" → "s:v1:t:acme:u:1:l:en-GB:dashboard"); and an exact markdown output template down to the finding-row fields. Matches the anchor-5 example's standard of copy-paste-ready guidance covering the common cases; not 4 because no pseudocode or hand-waving appears anywhere.

Workflow Clarity

The derivation is a numbered six-step sequence ("Pin the response, not the endpoint" through "Check the tier") used as an explicit checklist ("Read the table as a checklist against one concrete response... Only the third answer is a finding"), with concrete validation checkpoints: the conditional downgrade rule ("Downgrade to informational only after confirming identifiers are globally unique, such as UUIDs"), the live verification instruction ("Verify with a live two-principal request against the edge"), and the hard finish condition ("A key fix with no test that exercises two distinct principals against the same slot is not finished"). This is a read-only audit so the destructive-operation cap does not apply, and the sequence, checklist, and verification feedback match the anchor-5 example; not 4 because validation is explicit at both the finding and fix stages rather than having minor gaps.

Progressive Disclosure

Both inline references — [references/lru-cache-trap.md] and [references/http-cache-directives.md] — exist, are exactly one level deep, and are clearly signaled at the point of need with the in-body text deliberately reduced to the decision-relevant summary ("Full mechanism and Python-doc citations", "Full RFC and OWASP citations") while verbatim quotes live in the reference files. This matches the anchor-5 structure of a clear overview with well-signaled one-level-deep references; not 4 because the split is exactly right: everything needed to act is inline, and only source material is external.

Specificity

The description enumerates concrete, distinct actions across the full audit lifecycle: "Audits whether a cache key carries every discriminator", "Ranks identity discriminators (tenant, user, authorization scope, plan tier) above presentation ones (locale, region, currency, feature flag)", "classifies each key-and-value pair into a critical / high / medium severity band", and "writes the fix as a namespaced key builder plus the matching HTTP Vary header". This matches the anchor 'Lists multiple specific concrete actions; comprehensive coverage'; it is not 4 because there are no material gaps — audit, ranking, consequence-mapping, severity classification, and the fix are all named, including the lru_cache trap.

Completeness

Both halves are explicit: the 'what' is a multi-clause capability list, and the 'when' is a full "Use when..." clause with three concrete trigger scenarios (key design/change, pre-storage of a per-user/per-tenant response in a shared cache or CDN, investigating a cross-principal data report). This exceeds the anchor-5 example's level of explicitness; not 4 because the 'when' is already fully explicit rather than 'could be more specific'.

Trigger Term Quality

Natural trigger phrases a user would actually say are present: "a cache key is being designed or changed", "a per-user or per-tenant response is about to be stored in a shared cache or CDN", and the incident-report phrasing "one user or tenant saw another's data", alongside domain nouns (tenant, user, authorization scope, plan tier, feature flag, Vary, lru_cache). Matches 'Comprehensive coverage of natural terms including synonyms'; not 4 because no commonly used variant phrasing for this niche is missing — even the bug-report wording users would use verbatim is included.

Distinctiveness Conflict Risk

The niche is narrow and the triggers are its own — cache-key discriminator auditing for cross-user exposure, with named specifics (Vary header, lru_cache trap, shared cache/CDN storage). It would not fire for general caching, performance, or invalidation questions because those symptoms are explicitly distinguished in the trigger phrasing; minimal conflict risk per the anchor-5 example.