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

Annotations already carry the safety profile (readOnlyHint=true, idempotentHint=true, destructiveHint=false), and the description adds value beyond them by disclosing the return shape: it returns ids rather than full product objects. That tells the agent the results are identifiers to be consumed by another tool, which is genuinely useful behavioral context.

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, zero filler, with the search scope front-loaded and the fetch-chaining note placed second. Every clause earns its place, and the resource types are packed efficiently into the opening clause.

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 annotations covering safety, the description is nearly complete: it states the scope, the search dimensions, and what the call returns. The only real gap is the unresolved relationship to search_products, and result-limit/empty-result behavior is left unspecified, but the return-value note partly compensates for the missing output schema.

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 coverage is 100% and the query parameter already includes realistic examples. The description adds meaning beyond the schema by listing the valid search dimensions (name, maker, collection, color, SKU) and the product categories, so an agent knows what kinds of queries are legitimate even though the schema only reads "query".

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 states a specific verb (search), a named resource (Be Sew Bizzy's products), and concrete scope (quilt fabric, notions, patterns, embroidery supplies), with search dimensions (name, maker, collection, color, SKU). However, it does not distinguish itself from the near-twin sibling search_products, so an agent cannot tell which search tool to pick without inspecting both schemas.

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 gives clear usage context: this tool returns ids to pass to fetch for detailed price/sale/stock/colors, which establishes a search-then-fetch workflow. But it offers no exclusion guidance and never addresses when to use search vs. the sibling search_products, leaving a meaningful 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.