sparkfun_category

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It does disclose that results are paginated and that filters are dynamic and must come from the response's filters array, which is useful. However, it doesn't mention whether this is a read-only operation, any rate limits, or what happens with invalid url_keys. The pagination and filter behavior are the most important traits and are covered, but there's room for more.

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 two sentences with no wasted words. The core action and return type are front-loaded, and the filter usage guidance is placed where it's most relevant. It's concise and structured well, though it could arguably be slightly more explicit about the required url_key parameter.

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 category-browsing tool with 4 parameters and no output schema, the description covers the essential behavior: what it returns, pagination, and filter usage. However, it doesn't explain how to obtain a valid url_key (e.g., from sparkfun_categories), nor does it describe the response structure beyond mentioning products and filters. An agent might need to infer the relationship with sibling tools.

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 four parameters. The description adds meaning by explaining the filter format ('attribute:value') and that filter values must come from the response's filters array, which goes beyond the schema's 'Repeatable dynamic facet in attribute:value form'. However, it doesn't add much about page or per_page semantics beyond what the schema provides. Baseline 3 is appropriate.

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 ('Browse') and resource ('a SparkFun category'), and clarifies it returns paginated public products and dynamic facet filters for a category URL key. It doesn't explicitly distinguish itself from sibling tools like sparkfun_categories or sparkfun_search, but the resource and return type are clear enough for an agent to understand the core function.

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 implies usage context: it's for browsing a category by URL key, and it explains how filters must be formatted ('attribute:value' and use values from the response's filters array). However, it doesn't explicitly state when to use this tool versus alternatives like sparkfun_categories or sparkfun_search, nor does it mention any exclusions or prerequisites.

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