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list_levels

Retrieve position levels like Manager, Executive, or Individual Contributor from the Rippling HR platform to understand organizational structure and roles.

Instructions

List position levels (e.g. Manager, Executive, Individual Contributor)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax results per page (1-100, default 50)
offsetNoPagination offset (default 0)
Behavior2/5

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. While 'List' implies a read-only operation, the description doesn't address important behavioral aspects like whether this requires authentication, what format the results return, whether results are paginated (though parameters suggest pagination), or any rate limits. For a tool with zero annotation coverage, this is inadequate.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence that immediately communicates the core functionality. Every word earns its place, with no wasted text or unnecessary elaboration. The structure is front-loaded with the essential information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the lack of annotations and output schema, the description should do more to compensate. While the purpose is clear, there's no information about what the tool returns, authentication requirements, error conditions, or how position levels relate to the broader organizational context. For a tool in a system with many sibling tools, this leaves significant gaps in understanding.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema description coverage is 100%, with both parameters (limit and offset) clearly documented in the schema. The description adds no parameter information beyond what's already in the schema. According to scoring rules, when schema_description_coverage is high (>80%), the baseline is 3 even with no param info in the description.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb ('List') and resource ('position levels') with specific examples ('Manager, Executive, Individual Contributor'), making the purpose immediately understandable. However, it doesn't explicitly differentiate this tool from similar sibling tools like list_departments or list_teams, which prevents a perfect score.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

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. With sibling tools like list_departments and list_teams available, there's no indication of how position levels relate to or differ from these other organizational structures. The description is purely functional without contextual usage information.

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

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