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

Annotations already declare readOnlyHint, idempotentHint and openWorldHint=false, so the safety profile is covered. The description still adds value by disclosing the return shape (ids, titles, source links) and the two-step search-then-fetch pattern, which annotations cannot convey. It stops short of noting result limits or ranking behavior, so not a 5.

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 sentences, front-loaded with the corpus scope, then examples, then the return-and-follow-up instruction. Every clause carries information an agent would otherwise have to guess at; nothing is redundant with the title or annotations.

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?

No output schema exists, but the description compensates by naming the returned fields (ids, titles, source links) and explaining how to turn a hit into full content via fetch. Combined with full parameter coverage and read-only annotations, an agent has everything needed to invoke this correctly on the first try.

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?

Only one parameter and schema coverage is 100%, so the baseline is 3. The description earns above that by demonstrating the intended query form with two worked examples ("12 V gel battery for solar", "OPzS 2V cell SDS"), which tells the agent how to phrase input in a way the terse schema description "What to look for." does not.

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 (Search) plus the exact resource and enumerates the content corpus: product pages, datasheets, discharge tables, manuals, SDS, technical articles. This is far more specific than the title and lets an agent distinguish it from get_documents or find_series, which target narrower slices of the same site.

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?

Gives explicit query-style guidance ("Ask in plain words") with two concrete example queries, and routes the agent onward: "Returns ids, titles and source links; read one with fetch." That names the sibling fetch and the condition for using it, which is exactly the when-to-use signal an agent needs.

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