Skip to main content
Glama
rehan1020

mcp-india-stack

by rehan1020

calculate_leave_encashment_tax

Read-onlyIdempotent

Calculate tax-exempt portion of leave encashment under Section 10(10AA) for Indian employees, aiding accurate tax computation and retirement benefit planning.

Instructions

Calculate tax-exempt portion of leave encashment under Section 10(10AA).

Use when computing leave encashment tax exemption or planning retirement benefits.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
leave_encashment_amountYesActual amount received in INR
average_monthly_salaryYesAverage of last 10 months basic + DA
earned_leave_balance_daysYesDays of earned leave
years_of_serviceYesTotal years of service
is_government_employeeNoGovernment employee flag

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

Annotations already indicate readOnlyHint=true and idempotentHint=true, so the description does not need to restate safety. It correctly implies a non-mutating calculation, adding no contradictions.

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?

Two concise sentences that front-load the action and purpose, with no unnecessary words. Every sentence is useful.

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?

For a calculation tool with an output schema, the description is adequate. It could provide more detail on the calculation methodology, but the schema and annotations fill the gaps sufficiently.

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% with clear parameter descriptions, and the description adds no additional meaning beyond what the schema already provides, meeting the baseline expectation.

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 it calculates the tax-exempt portion of leave encashment under a specific section (10(10AA)), distinguishing it from sibling tools like calculate_gratuity or calculate_income_tax.

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

Usage Guidelines4/5

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

The description provides clear usage context ('when computing leave encashment tax exemption or planning retirement benefits'), but does not explicitly mention when not to use or alternative tools, though siblings do not directly overlap.

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/rehan1020/MCP-India-Stack'

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