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

Annotations already declare readOnlyHint, idempotentHint and destructiveHint=false, so the safety profile is covered. The description adds genuine value beyond that: it flags the payload as 'Sensitive payroll and bank data' (a handling instruction an agent should act on) and cites the concrete endpoint GET /v3/payroll. It omits rate limits and payload shape, but those are secondary given the annotation coverage.

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?

Three compact sentences, front-loaded with what the tool returns before the filter list. The trailing 'GET /v3/payroll' is mildly redundant but cheap and useful for tracing. No wasted prose.

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?

With 12 all-optional parameters, no output schema and full schema coverage, the description supplies what the schema cannot: the identity of the returned fields and the sensitivity of the data. Pagination and sorting defaults are already spelled out in the schema, so their absence here is not a gap. Only the lack of sibling routing keeps it from a 5.

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 100% – every one of the 12 parameters, including the status enum mapping (0=active, 1=resigned) and date formats, is documented in the schema itself. The description's filter list simply restates those parameter names without adding format or edge-case meaning. Baseline 3 applies when the schema does 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?

States a specific verb and resource ('Payroll setup of the company's employees') and enumerates the exact data returned: PTKP tax status, NPWP, BPJS numbers, bank account. That is far more concrete than the title alone. It stops short of naming how it differs from sibling talenta_get_payroll_report or talenta_get_employee, which cover overlapping payroll territory.

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 sentence listing filter dimensions (status, branch, organization, job position, employment status, job level, user ids, modified date) tells an agent how to narrow results, which implies usage. However, there is no explicit when-to-use or when-not, and no routing to talenta_get_payroll_report or talenta_list_employees when a different payroll view is wanted.

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