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

Annotations already cover the safety profile (readOnly, non-destructive), so the valuable addition is the disclosure that results carry id, title and URL — especially useful since there is no output schema. It omits result limits and pagination behavior, which an agent needs to know before calling.

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 short sentences, front-loaded with the resource and return shape, with no filler. The clause about being a minimal interface is slightly meta but does earn its place by hinting at the sibling relationship.

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 single-parameter read-only tool with full schema coverage and annotations, the definition covers what it searches, what it returns, and roughly when to use it. The remaining gap is disambiguation from the near-identical `search_templates` sibling.

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?

One parameter at 100% schema coverage, so the schema already documents `query` as 'search terms'. The description adds nothing about query syntax, matching behavior, or empty-result handling, so the baseline 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 and resource ('Search letX's public library of free LaTeX templates') and names the returned fields (id, title, URL). It does not explicitly distinguish itself from the sibling `search_templates`, only hinting at a difference via 'minimal search interface for clients that expect one'.

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?

'Use when the user is looking for a LaTeX template' gives a use context, and 'for clients that expect one' implies this is the fallback shape. But it never names `search_templates` as the richer alternative or states when NOT to use this tool, leaving the most important routing decision to inference.

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