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

With no annotations provided, the description carries the full burden and largely meets it: it discloses that the tool returns a report (not a mutation) and details the report's contents including warnings for duplicate roles, missing positions, and heavy patterns. It implies a non-destructive analysis. It does not explicitly state 'makes no changes' or cover auth/limits, but for a validation tool the return-behavior disclosure is strong.

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, front-loaded with purpose and the usage call-to-action. The detailed list of report components is justified because there is no output schema, so it is the only documentation of return contents. Efficient with no filler, though slightly long due to that necessary enumeration.

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?

Complete for a single-parameter validation tool: input format is covered by schema plus description, output content is fully enumerated (essential given no output schema), and usage timing is stated. Minor omissions—explicit non-destructive statement and any performance limits—are non-critical for a pre-build analysis call.

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% and the schema itself already documents 'Pattern slugs or numbers to validate together,' so the description's mention of 'slugs (or numbers)' adds nothing beyond the structured field. Baseline 3 is appropriate since the schema carries the burden and the description contributes only contextual framing, not new parameter detail.

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-resource pair ('Check whether a set of patterns work well together') and enumerates the concrete outputs (overall score, per-pair analysis, style/industry coherence, intensity balance, page-flow coverage, warnings). It is clearly distinguishable from siblings: it evaluates pattern combinations pre-build (vs audit_page for existing pages, recommend_patterns for suggestions, verify_repair for fixes).

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?

Gives explicit timing guidance: 'Call BEFORE building to catch mismatches early,' which positions it relative to build_page as a pre-build gate. It does not name explicit sibling alternatives or state when NOT to use it, but the before-building directive is clear contextual direction that an agent can act on.

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