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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, and closed-world scope, so the safety profile is fully covered. The description adds real value by defining what 'related' means (broader/narrower/related buckets), but says nothing about behavior on an unknown term, result ordering, or pagination.

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?

One sentence, front-loaded with the verb and resource, with the parenthetical glosses on broader/narrower doing useful disambiguation work. Nothing is wasted.

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?

For a simple read-only lookup with full annotation coverage and no output schema, the description conveys enough to call the tool correctly and even hints at the shape of the result (three relationship categories). Only the error/empty-result behavior is unaddressed.

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?

Single parameter with 100% schema description coverage — the schema already documents that 'term' accepts a name, synonym, slug, or PTL identifier. The description adds no additional format or matching semantics beyond the schema, so the baseline of 3 applies.

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 (list) and resource (techniques linked to a given technique) and, unusually, enumerates the relationship kinds it returns (broader/narrower/related). That makes the tool's scope unmistakable, though it never contrasts itself with siblings like get_term or search_terms.

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 purpose strongly implies when to reach for it (when you need the semantic neighborhood of a technique), but the description gives no explicit when-to-use, prerequisites, or alternative routing against get_term/search_terms. Usage is inferable rather than stated.

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