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

No annotations are supplied, so the description carries the full burden, and it does disclose return behavior beyond the schema: whole sections grouped by document, best document first, and small documents returned in one piece. It says nothing about authentication, rate limits, or failure modes, which keeps it short of a 5 for an unannotated tool.

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?

Front-loaded with the core directive and generally well organized, but the 'call again when the topic shifts, even if you already called it earlier' point restates the opening sentence's 'not just once per conversation' emphasis, adding some redundancy to an otherwise tight block.

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 one-parameter search tool with an output schema already covering the return shape, the description supplies everything an agent needs: the trigger conditions, the query-construction guidance, and the grouping/ordering of results. Nothing material is missing.

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 single 'plan' parameter has 0% schema description coverage, so the description must compensate — and it does thoroughly, specifying that the agent should describe its plan and the guidance needed, give examples, avoid pasting the user's question verbatim, and name the product/system/identifier when known.

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 opening sentence gives a specific verb and resource: 'Find instruction sections relevant to what you are ABOUT TO DO.' The relevance-based retrieval framing implicitly separates it from get_section (fetch by id) and get_toc (listing), but neither sibling is named, so the differentiation is left to inference.

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?

Explicit and unusually prescriptive: call before every new topic, system or data source, not just once per conversation; call again when the user's question shifts to a different system or product, even if already called earlier. It also states what NOT to pass (the user's question verbatim) and what to pass instead, with concrete examples.

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