AI Recommendation Readiness Audit | The Black Friday Agency

The two tools have clearly distinct purposes: one performs the readiness assessment, the other returns the underlying scoring framework. There is no overlap, and their complementary relationship is well-defined.

Both tools follow a consistent verb_noun pattern using lowercase snake_case: 'assess_ai_recommendation_readiness' and 'get_ai_readiness_framework'. The naming style is uniform and predictable.

With only 2 tools, the server sits at the low end of the appropriate range. The narrow read-only purpose helps justify the count, but for a general readiness audit server one might expect a bit more coverage, such as a summary or comparison tool.

The server fully covers its stated purpose: one tool returns the framework for understanding inputs and scoring, and the other executes the assessment. Since the assessment is deterministic and stateless, there are no missing lifecycle operations or dead ends.