chrono24_brands

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

No annotations exist, so the description carries the burden. It correctly conveys a read-only list operation and adds useful context about the returned slug's role as a parameter value. However, it does not disclose potential pagination, response size, ordering, or whether the index is cached or volatile — acceptable for a simple list tool, but not fully transparent.

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?

Three sentences, no wasted words. The first names the action, the second details the returned fields and their downstream use, and the third justifies why this is the canonical source. The structure front-loads the core meaning and every sentence 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 zero-parameter discovery endpoint with no output schema, this description is complete: it states what is returned (brand name + slug), the purpose (parameter for sibling tools), and why this endpoint is authoritative. An agent can select and invoke it correctly without needing additional context.

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?

The tool has zero parameters, and the schema is trivially covered at 100%, so the baseline is 4. The description adds no input semantics because there are none; instead it clarifies the semantics of the output slug as the brand parameter for sibling tools, which is helpful context beyond the 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?

The description opens with a specific verb and resource — 'List Chrono24 watch brands' — then sharpens it: it returns the full brand index including every brand name and its slug. It is clearly distinguishable from siblings because it explicitly names chrono24-models and chrono24-search as the consumers of the slug, and calls itself 'the discovery endpoint for that parameter.'

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 context: it is the canonical source for brand parameter values, so an agent knows to call this when it needs valid brand slugs for sibling tools. It does not explicitly list negative cases or alternatives (e.g., 'use chrono24_facets instead when...'), but the discovery-endpoint framing provides enough routing guidance.

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