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asgard-ai-platform

mcp-mayo

get_salary_bonus_list

Retrieve salary and bonus distribution rosters for any month range. Accepts YYYY-MM or YYYY-MM-DD inputs and converts them to the required format.

Instructions

Get the salary and bonus distribution roster across a month range.

Accepts ISO-style YYYY-MM input (or a full YYYY-MM-DD, which is truncated to its month) and sends MAYO's expected YYYY/MM format internally.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
end_monthYesRange end month in `YYYY-MM` or `YYYY-MM-DD` format
start_monthYesRange start month in `YYYY-MM` or `YYYY-MM-DD` format
Behavior3/5

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

With no annotations, the description carries the burden of transparency. It discloses input normalization (truncation of full dates to months, internal YYYY/MM format), which is useful. However, it does not state whether the operation is read-only, mention any permissions, output format, or potential side effects, so transparency is partial.

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

Conciseness5/5

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

The description is two sentences, front-loaded with the tool's purpose and then succinctly explaining input formatting. No wasted words; every sentence earns its place.

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

Completeness4/5

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

The tool is straightforward (two-parameter range query) and the description gives enough context for basic use. However, with no output schema, the description does not specify the return structure or any limits (e.g., pagination), leaving some minor gaps for a complete understanding.

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

Parameters4/5

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

While the schema provides 100% coverage of both parameters with format descriptions, the description adds extra semantics: explaining that YYYY-MM-DD inputs are truncated to months and that the tool converts to YYYY/MM internally. This goes beyond the schema's literal format notes, enriching parameter understanding.

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 'Get the salary and bonus distribution roster across a month range,' using a specific verb and resource. It distinguishes itself from sibling tools like get_monthly_payroll_report and list_active_employees by focusing on the salary/bonus distribution roster over a range.

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?

The description gives context on input format but no explicit guidance on when to use this tool vs alternatives. It implies the use case (salary/bonus roster for a month range) but does not mention exclusions or alternative tools, leaving usage decisions to the agent.

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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