thebodyshop_store

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

No annotations are provided, so the description carries the full burden. It discloses the fixed server-side URL, no-url-parameter behavior, and two failure fallbacks (myshopify.com domain discovery or embedded page data). This is more than most retail store descriptions provide. It doesn't mention response shape, but for a parameterless metadata endpoint that's a minor gap.

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?

Four sentences, all information-dense. It front-loads the core purpose, then explains the no-parameter constraint, then gives the fallback chain. The only slight density issue is the last sentence's long fallback clause, but it still earns its place.

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 parameterless, brand-pinned metadata tool with a rich sibling set, the description covers what the store is, what data it returns, why no parameters exist, and the full fallback behavior. No output schema exists, but the return value is described at a useful level ('normalized storefront metadata'), and the description is complete for an agent deciding whether to invoke it.

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 has zero parameters and 100% coverage by construction; per calibration, 0 params = baseline 4. The description adds useful context by explaining WHY there are no parameters (the URL is fixed server-side), which is more informative than the bare empty schema.

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+resource ('Get The Body Shop store metadata') and immediately distinguishes it from the generic Shopify store family ('brand-pinned wrapper'). An agent can tell it apart from the many sibling store tools (e.g., shopify_store, ubereats_store) without inspecting 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?

Explicitly explains when this tool is appropriate: it is a brand-pinned wrapper, so no URL parameter is accepted, and it describes fallback behavior if the vanity domain blocks /products.json. The description also names the generic Shopify store family as the related alternative, so an agent knows the tradeoff between this pinned wrapper and the generic store tool.

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