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

With no annotations provided, the description carries the full burden. It discloses the result limit ('up to 10 matches') and return fields (Q-id, label, description), which is helpful. However, it does not mention rate limits, authentication, or whether the operation is read-only (assumed from context, but not stated).

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 very concise: two sentences that cover what it does, what it returns, and a use case. No unnecessary words; every sentence adds value.

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?

Given low complexity (single string parameter, no output schema, no annotations), the description is fairly complete. It states the purpose, result limit, and return fields. It could mention potential limitations (e.g., only matches by name) but overall covers the key aspects.

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 0%, so the description must compensate. It adds meaning by stating the query parameter is for searching 'by name,' but lacks details on matching behavior (e.g., partial matches, case sensitivity) or expected input format.

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 searches Wikidata entities by name and returns specific fields (Q-id, label, description). It also mentions a use case (entity disambiguation/canonicalization), distinguishing it from siblings like wiki_page_summary which focus on page summaries.

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 provides clear context with 'Use this for entity disambiguation / canonicalization,' indicating when to use it. It does not explicitly state when not to use it, but the purpose is distinct from sibling tools (summary, recent changes, trending).

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