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Talenta MCP by usefulapi

Get monthly payroll report

talenta_get_payroll_report
Read-onlyIdempotent

Company-wide payroll summary (salary detail) for one month. Sensitive payroll data. Optional filters by payment method, branch, organization, job level. GET /v3/payroll/report.

Input Schema

NameRequiredDescriptionDefault
yearYesYear (yyyy).
monthYesMonth, 1-12.
paymentNoPayment method filter, 1 or 2.
branch_idsNoOnly these branch ids.
job_level_idsNoOnly these job level ids.
organization_idsNoOnly these organization ids.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint and destructiveHint=false, so safety is covered structurally. The description's one genuine addition is 'Sensitive payroll data', which usefully warns the agent to treat the payload carefully, though it does not state what access or role is required. It also does not disclose volume or whether the report is paginated.

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

Conciseness4/5

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

Four short fragments with the subject and scope front-loaded and the sensitivity warning placed early. The trailing raw endpoint is mildly redundant but cheap. Nothing is padded with filler.

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

Completeness3/5

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

There is no output schema, so the description must carry the return shape, and it only gestures at it via 'payroll summary (salary detail)' without saying what columns or aggregates come back. For a read-only report with full schema coverage on inputs the gaps are tolerable, but an agent still cannot anticipate result size or structure.

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?

Schema description coverage is 100%, so the baseline is 3. The description restates the four optional filters without adding semantics; notably it does not explain what payment method values 1 and 2 mean, which the schema leaves opaque ('1 or 2'). No meaning is added over the structured fields.

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 states a specific resource and scope: a company-wide payroll summary covering one month, with a parenthetical clarifying it carries salary detail. This is materially different from the name alone and lets an agent understand the shape of the result. It stops short of naming a sibling such as talenta_list_payroll_info, so the boundary against that tool must be inferred.

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 never says when to reach for this report versus talenta_list_payroll_info, which is the obvious near-neighbour in the sibling list. The filter list describes capability, not selection criteria, and there is no mention of prerequisites such as needing payroll admin scope before calling.

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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