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asgard-ai-platform

mcp-mayo

get_overtime_records

Retrieve approved overtime records for a specified date range to track extra hours worked.

Instructions

Get approved overtime records within a date range.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
end_dateYesRange end in `YYYY-MM-DD` format
start_dateYesRange start in `YYYY-MM-DD` format
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It only states a read operation with a date filter, but does not disclose whether it returns all employees, what response format to expect, any authorization requirements, or potential pagination/limits. This is minimal behavioral disclosure for a tool with no annotation support.

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 a single, front-loaded sentence that avoids unnecessary words. It conveys the essential action and scope without verbosity, earning full marks for conciseness and structure.

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 lack of annotations and output schema, the description should provide more context about the tool's results (e.g., employee scope, aggregation level, or any caveats). It currently only mentions date range and approval status, leaving significant gaps for an agent to know what to expect.

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 coverage is 100% and both parameters (start_date, end_date) have clear format descriptions. The description adds the 'approved' filter but does not provide additional meaning beyond the schema, so the baseline score of 3 is appropriate.

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 uses a specific verb ('Get') and resource ('approved overtime records') and specifies the date range scope. This clearly distinguishes it from sibling tools like get_leave_history and get_attendance_history, making the purpose unambiguous.

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 implies the tool is for retrieving approved overtime within a date range, but it does not explicitly state when to use it over alternatives or mention any exclusions (e.g., pending overtime). The absence of explicit 'use this when' guidance leaves usage context implied rather than clearly defined.

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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