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

Annotations already declare readOnlyHint, but the description adds meaningful behavioral detail: data is read as published at boot, never computed at request time, and not-held items are reported honestly. It does not contradict annotations and provides useful context beyond them.

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?

The description is somewhat ornate but every clause carries distinct information: content layers, versioning, boot-time behavior, and the explicit word-lookup exclusion. It is not bloated, though it could be tightened without losing meaning.

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 zero-parameter read-only summary tool, the description is complete. It states what is included, how freshness works, what not-held means, and what the tool is not for. No output schema exists, so return-value explanation is not required.

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?

The tool has zero parameters and the input schema is empty, so parameter semantics are trivial. The description fully compensates for any potential ambiguity by describing what the tool returns even though no parameters require explanation.

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 clearly states the tool summarizes what the KSA Dictionary holds, enumerating specific content types and explicitly distinguishing it from resolve_term for word lookups. This goes beyond the title and differentiates it from siblings.

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?

It explicitly gives a when-not-to-use rule ('never a word lookup') and routes to the correct sibling ('for one word use resolve_term'). It also clarifies that the summary reflects boot-time state, which informs the caller's expectations.

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