Skip to main content
Glama
rajuprasad-dev

Keka employee MCP

get_partial_day_requests

Retrieve partial-day requests for the signed-in employee, optionally filtered by start and end dates, to review or process time-off requests within a chosen period.

Instructions

Partial-day requests for the signed-in employee.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
toDateNoLast day, YYYY-MM-DD. Defaults to today on this machine.
fromDateNoFirst day, YYYY-MM-DD. Defaults to 1 January of this year.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

C2.5/5.0
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 behavioral burden, yet it discloses almost nothing: no statement of read-only-ness, no explanation of how the date defaults interact with results, no indication of whether it returns approvals, pending items, or history, and no output shape. Only the implicit 'get' prefix hints at a read operation.

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

Conciseness3/5

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

It is a single short sentence with zero padding, which is structurally clean. But the brevity reflects under-specification rather than disciplined conciseness, so it lands at minimum viable.

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?

For a tool with no annotations and no output schema, the description should at least say what a partial-day request contains or what the caller gets back. Neither the return content nor any behavioral constraint is covered, leaving the definition thin for its complexity level.

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 description coverage is 100%, with both fromDate and toDate fully documented including their default values, so the schema does the heavy lifting. The description adds no parameter semantics of its own, which is the expected baseline when coverage is this high.

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

Purpose3/5

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

The description identifies the resource ('partial-day requests') and its scope ('the signed-in employee'), which adds a small amount of information beyond the tool name. However, it is a bare noun phrase with no verb, and it does nothing to distinguish this from the many sibling request-list tools (get_leave_requests, get_attendance_requests, get_adjustment_requests) or explain what a 'partial-day request' actually is.

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?

There is no when-to-use guidance, no prerequisites, and no mention of alternative tools for related request types despite a large sibling set of analogous retrieval tools. The agent must infer usage entirely from the name.

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