Skip to main content
Glama

resolve_day

Computes attendance details for a single duty day: worked minutes, overtime, lateness, break deductions, and data integrity flags from raw clock punches and shift rules.

Instructions

Resolve a single duty day from raw clock punches and a shift definition. Returns a structured DayResult with status, worked minutes, lateness, early-out, overtime, overnight handling, breaks-deducted minutes, data-integrity flags, and the resolved in/out segments.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateYesDuty date in worksite local wall-clock, YYYY-MM-DD.
punchesYes
shiftYes
policyNo
leaveNo
holidayNo
weekendNo
Behavior4/5

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

No annotations provided, but the description details what the tool returns (status, minutes, flags, segments), giving good insight into its behavior. However, it doesn't mention side effects or statelessness.

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?

Single sentence that efficiently conveys purpose and outputs, though it could be broken into two for readability.

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?

No output schema and no annotations; the description gives a good overview but lacks depth on input parameters, making it moderately complete for a complex tool.

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 14%, but the description provides no additional meaning for the 7 parameters beyond mentioning 'raw clock punches and a shift definition.' It fails to explain policy, leave, etc.

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 resolves a single duty day from punches and a shift definition, listing specific outputs. It distinguishes from sibling like resolve_period (period vs day).

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?

No guidance on when to use this tool over siblings (e.g., resolve_period, diagnose_punches) or when not to use it. The description only states what it does.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/arifur9993/attendance-engine-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server