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

The description discloses an important behavioral nuance: 'ksao_type/canon_component_id are null by design where unresolved — treat null as not yet joined, never as no link.' This is a genuinely useful open-world interpretation of null values. However, it directly contradicts the openWorldHint=false annotation, which indicates a closed-world stance in which absence is meaningful. This is an Annotation Contradiction.

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?

Three sentences, each with a distinct job: core purpose, parameter recipes, and output semantics. The description is front-loaded with the main traversal purpose and wastes no words. It is appropriately sized for a 12-parameter tool.

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?

An output schema exists, so the description need not explain return values. It covers the key behavioral caveat around nulls and gives practical filter guidance. The missing piece is explicit guidance on when to use this tool versus sibling tools, but the schema and annotations carry much of the remaining burden.

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%, so all 12 parameters already have descriptions. The prose adds value with concrete recipe-like guidance for min_guides, role, and capability_detail, and the schema itself provides domain context like the 95.1% validation for ksao_type. This goes beyond the baseline of 3.

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 uses a specific verb and resource: 'Traverse the capability spine joining books, guides (capability packages), KSAO-grade elements and jobs.' This clearly conveys a multi-entity traversal and distinguishes it from sibling tools like get_guide or list_guides, though it does not explicitly name those alternatives. No tautology is present.

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?

The description gives conditional parameter usage recipes: 'min_guides=2 for the cross-cutting capabilities', 'role=<role> for what a job requires', and 'capability_detail=<slug> for one package'. However, it never states when to prefer this tool over its siblings or when not to use it. The guidance is about how to choose filters, not about tool selection.

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