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josemachado-vp

SF Assistant MCP Server

compare_employees

Compare multiple employee profiles side-by-side to audit and verify data consistency across your HR system.

Instructions

Compare multiple employees side by side.

Fetches profiles for all specified employees in parallel and returns a comparison matrix highlighting differences. Useful for auditing or verifying employee data consistency.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
user_idsYesList of userIds to compare (2-5 employees)
data_centerNo
auth_user_idNo
auth_passwordNo
compare_fieldsNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

Discloses that it fetches profiles 'in parallel' and returns a comparison matrix. No annotations provided, so description is the only source. Missing details on authentication requirements (auth_user_id, auth_password) and whether the operation is read-only, which are relevant for behavioral understanding.

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?

Description is short and front-loaded with purpose. Two paragraphs, no wasted words. However, the second sentence about parallel fetching could be integrated into the first for better flow.

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?

Given the tool has 5 parameters including authentication-related ones and an output schema exists, the description covers the main purpose and returns a matrix but omits important context like how authentication is handled and what the compare_fields parameter does. The existence of output schema reduces need to explain return format, but authentication context is still missing.

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?

Schema description coverage is only 20% (only user_ids has schema description). The tool description does not explain the other four parameters (data_center, auth_user_id, auth_password, compare_fields), leaving them ambiguous. For user_ids, the schema already defines the constraint (2-5 employees) but description does not reinforce it.

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?

Clear verb and resource: 'compare multiple employees' and 'returns a comparison matrix'. Specific to employees and distinguishes from other comparison tools like compare_business_rules, but does not explicitly differentiate from sibling tools that also deal with employees (e.g., audit_employee_data, search_employees).

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

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

States 'Useful for auditing or verifying employee data consistency', which gives context for when to use. However, it does not mention when not to use or provide alternatives, leaving the agent to infer from sibling tool names.

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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