List Hemmiles product features

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

Annotations already declare readOnly, idempotent, openWorld and non-destructive, so the safety profile is covered. The description adds real context beyond that: the underlying source (site JSON-LD), the optional URL linkage to per-feature pages, and the return shape. Remaining gaps (rate limits, freshness) are minor for a read-only listing.

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 purpose, then Args, Returns, and example queries in clean sections. The list of typical feature names is somewhat illustrative padding, but it does convey the domain vocabulary, so it largely earns its space.

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?

With only 2 optional params, an output schema present, and full annotation coverage, this is close to complete. The description reinforces the return shape and data provenance, leaving little an agent would need beyond 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 description coverage is 100%, with both parameters enum-documented and described, so the baseline is 3. The description's one-line restatement of locale ('market whose feature-page URLs to return') adds slight interpretive value but nothing the schema does not already carry.

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 gives a specific verb ('List') and resource ('Hemmiles product's capabilities / featured items'), and pins down the data source (SoftwareApplication JSON-LD feature list) with the linkage rule for dedicated pages. This is clearly distinguishable from siblings like hemmiles_list_pages or hemmiles_list_resources, which are page/resource inventories rather than the product's feature set.

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?

Usage is implied through example user queries ('What can Hemmiles do?' / 'List Hemmiles features'), which helps an agent recognize trigger phrasing. However, there is no explicit statement about when NOT to use this tool or which sibling to prefer for adjacent queries (e.g., company info vs. features).

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