get_loyalty_status

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It implies a read-only operation ('Check'), but doesn't explicitly state whether it's safe, requires authentication (beyond the PIN parameter), has rate limits, or what happens on errors. For a tool with authentication parameters and no annotations, this leaves significant behavioral gaps.

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 a single, efficient sentence that front-loads the purpose and key details (tier, points, certificates). There's no wasted language or redundancy, making it easy to parse quickly. Every word contributes directly to understanding the tool's function.

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?

Given the tool's moderate complexity (authentication parameters, no output schema), the description is minimally adequate. It covers what data is returned but lacks details on authentication requirements, error handling, or output format. Without annotations or an output schema, the description doesn't fully compensate for these gaps, leaving room for improvement in completeness.

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 input schema has 100% description coverage, with clear documentation for all three parameters (member_id, email, pin). The description doesn't add any parameter-specific information beyond what's in the schema, such as format examples or usage tips. With high schema coverage, the baseline score of 3 is appropriate as the schema handles the heavy lifting.

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 clearly states the specific action ('Check') and resource ('Hertz Gold Plus Rewards loyalty status'), listing the exact data returned (tier, points balance, free day certificates). It distinguishes itself from sibling tools like 'get_reservation' or 'get_vehicle_details' by focusing on loyalty program information rather than reservations or vehicles.

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 provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., needing authentication via PIN), scenarios where it's appropriate (e.g., customer service inquiries), or exclusions (e.g., not for modifying loyalty data). With sibling tools like 'get_reservation' available, there's no differentiation in usage context.

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