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

Annotations already establish readOnlyHint=true and openWorldHint=false, so safety is covered; the description usefully adds that it resolves aliases and falls back to closest matches rather than failing on an inexact term. That fuzzy-match fallback is behavior an agent could not derive from annotations.

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 tight sentences lead with what the tool returns, then cover alias handling and fallback behavior. No filler, nothing redundant.

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 one-parameter lookup with no output schema, the description covers what is returned (matching or closest terms) and its alias tolerance. It stops short of describing ambiguous-match behavior or handling of unmatched input beyond 'closest matches', a minor gap.

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 coverage is 100% for the single `term` parameter, so the baseline is 3. The description restates that a term, an alias, or a word inside a term is accepted, which essentially mirrors the schema wording and adds no new syntax or constraints.

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 and resource: it returns plain definitions from the Pinpoint sales conversation glossary of 92 terms, and even names the term range. No sibling tool does glossary lookup, so it is clearly distinguishable.

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 use case (looking up sales-conversation terminology) is implied by the resource name and the enumeration of terms, but there is no explicit statement of when to reach for this tool versus siblings or when it is not appropriate. Adequate but leaves routing to inference.

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