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josemachado-vp

SF Assistant MCP Server

validate_country_compliance

Validate that employees in a country have all required country-specific fields, ensuring payroll and compliance readiness by reporting missing or empty fields.

Instructions

Validate that employees in a country have all required country-specific fields.

Checks each employee against the country's required fields (from knowledge base) and reports which fields are missing or empty. Essential for payroll and compliance readiness.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
user_idsNo
data_centerNo
auth_user_idNo
country_codeYesISO country code: COL, MEX, PER, CHL, ARG, BRA, USA, ESP
auth_passwordNo
max_employeesNoMax employees to check (1-500)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

With no annotations, the description carries the full burden. It discloses the check mechanism and reporting of missing fields, but does not mention permissions, authentication requirements (implied by auth_user_id and auth_password parameters), or whether the tool modifies data. The existence of an output schema partially offsets the lack of return value details.

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?

The description is two sentences, front-loading the primary action. It is concise and to the point, but could be slightly more structured. No wasted words.

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 tool has 6 parameters and an output schema, the description is incomplete. It fails to explain optional parameters, authentication needs, or default behavior for max_employees. The core validation logic is explained, but for a compliance tool with many fields, more context is needed.

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

Parameters2/5

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

Only 2 of 6 parameters have schema descriptions, and the tool description adds no additional parameter context. For example, user_ids and auth parameters are not explained. The description does not compensate for the low schema coverage (33%).

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

Purpose5/5

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

The description clearly states the tool validates employees against country-specific required fields from a knowledge base and reports missing/empty fields. The verb 'validate' and resource 'country compliance' are specific, and the tool distinguishes itself from siblings like 'audit_employee_data' by focusing on compliance requirements.

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 only notes it is 'Essential for payroll and compliance readiness' but does not specify when to use this tool versus alternatives (e.g., get_country_specific_fields or audit_employee_data). No guidance on prerequisites or when not to use it.

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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