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

Annotations already declare readOnlyHint=true, so the read-only safety profile is covered. The description adds useful behavioral context by specifying the paged response shape ({total, count, offset, limit, items}) and the underlying REST endpoint GET /products. No contradiction with annotations.

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 compact and front-loaded: it gives the operation and filters first, then the return shape, then the endpoint. Each sentence earns its place with no filler.

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 10-parameter read-only tool with full schema coverage and no output schema, the description provides the needed paging and response context. A minor gap is that it doesn't state default behavior when no filters are supplied, but the schema and readOnly annotation cover most of what an agent needs.

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 100%, so the schema already documents all 10 parameters. The description mostly summarizes filters that are already in the schema (keyword, SKU, category, stock, price range) and adds no deeper meaning beyond that summary.

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-resource pair ('Search / list the store's products'), enumerates the available filters and sorting, and gives the paged return shape. This makes it easy to distinguish from siblings such as get_product or list_categories.

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 clearly implies a search/list use case with optional filters, but it never explicitly says when to prefer it over get_product or other siblings, nor does it mention exclusions. Usage is inferable, not stated.

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