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

Annotations already declare this as a read-only, idempotent, non-destructive operation, so the bar for disclosure is met. The description adds behavioral context by specifying what the response contains (approved/pending requests, employee names, absence types) and by providing a concrete example of the date range syntax. This goes beyond the annotations without contradicting them.

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 only two sentences long, front-loaded with the core action and resource, and includes a practical example. Every sentence earns its place: the first defines the operation, and the second specifies the output content. There is no wasted text or repetition of structured data.

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 simple 4-parameter query tool with a well-annotated safety profile, a complete output schema, and a description that covers both usage and return content, the description is fully adequate. It provides the necessary information for an agent to select and invoke the tool correctly without ambiguity. No additional context is needed.

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 already provides 100% coverage for all four parameters, each with clear descriptions (e.g., 'End date (YYYY-MM-DD)'). The description's mention of a date range adds no new semantic meaning beyond what the schema already offers. Baseline 3 is appropriate because the schema does the heavy lifting with limited additional value from the description.

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 a specific action ('Search time-off requests') and resource ('time-off requests by date range'), making its purpose unmistakable. It distinguishes itself from sibling tools like bamboohr_list_employees and bamboohr_get_employee by focusing on time-off data, and it adds specifics (approved/pending, employee names, absence types) that reinforce its unique role.

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 clear context for when to use this tool: when searching time-off requests within a date range. It does not explicitly exclude alternatives or name sibling tools, but the domain is so well-defined that an agent can easily infer when this tool is appropriate versus the other BambooHR tools. The example date range further clarifies the intended use case.

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