Get OlaOla Product

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

No annotations are provided, so the description carries full burden. It mentions 'normalize' but does not explain what normalization entails, nor does it disclose any side effects, authentication needs, or rate limits. The 'public' hint is minimal.

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?

One sentence, no redundant words. Clearly states purpose and input type.

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 tool with no output schema, no annotations, and only one parameter, the description is too minimal. It does not describe return values, what 'normalize' means, or any other behavioral details needed for an agent to use it confidently.

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 single parameter 'urlOrSlug' is given context in the description ('from a URL or product slug'), which adds meaning beyond the schema's minLength constraint. However, no format details are provided, and schema coverage is 0%, so the description only partially compensates.

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 specifies the action ('Fetch and normalize'), the resource ('public OlaOla product facts'), and the input source ('from a URL or product slug'). It differentiates from sibling tools by focusing on 'public product facts' and normalization, though the presence of 'olaola_get_product_details' could cause confusion.

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?

No explicit guidance on when to use this tool versus alternatives like 'olaola_get_product_details' or search tools. The description implies use for fetching product facts from a URL or slug, but lacks conditions or exclusions.

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