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

With no annotations provided, the description carries the full load. It implies a read-only operation via 'GET' and notes the explicit company requirement, which is useful, but it does not describe error behavior, permissions, rate limits, or response characteristics beyond the output schema.

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 short and front-loaded, with no filler sentences. It is somewhat telegraphic, but every fragment conveys relevant information.

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 read-only getter with an output schema, the core invocation requirements are covered. However, the lack of sibling differentiation and the sparse parameter explanation leave meaningful gaps for an agent choosing among many payroll 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 0%, so the description must compensate. It does add meaning by indicating that company_name must be explicit and that query uses flat fields with filters documented via describe_nextesy_operation, but it does not explain the shape, acceptable fields, or formatting of either parameter.

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 identifies a GET endpoint for payroll company data and notes the explicit company requirement. However, it does not clarify what 'payroll company' data actually is, and it does not differentiate this tool from the many sibling payroll getters such as get_payroll_overview or get_payroll_configuration.

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?

It states that an explicit company is required and points to describe_nextesy_operation for filters, but gives no guidance on when this tool should be used instead of other payroll-related siblings. There is no when-to-use or when-not-to-use guidance.

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