Skip to main content
Glama

Compute 234B/234C interest

compute_interest_234
Read-only

Calculate interest under sections 234B and 234C on advance tax shortfalls using statutory rates and Rule 119A rounding.

Instructions

Deterministic sections 234B and 234C interest on advance-tax shortfalls. 234B: 1%/month on assessed-minus-advance when advance < 90% (from 1 April of the AY). 234C: per-installment shortfalls with the statutory 12%/36% safe harbors for June/September. Rule 119A rounding applied (principal floored to Rs 100, part month = full month).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
fyNo2025-26
assessedTaxYesTax on total income minus TDS/TCS and reliefs, in INR
presumptiveNo44AD/44ADA: single 100% installment by Mar 15
monthsFor234BNoMonths from 1 April of the AY to payment/assessment (part month = full month)
advanceTaxPaidNoTotal advance tax paid during the FY
cumulativePaidNoCumulative advance tax paid by Jun 15 / Sep 15 / Dec 15 / Mar 15, for 234C
Behavior4/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false. The description adds deterministic behavior, rounding (Rule 119A), and part-month rules, providing extra context beyond annotations.

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?

Three sentences efficiently front-load the tool's purpose and detail. Every sentence adds value without redundancy.

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?

Given 6 parameters and no output schema, the description fully explains the computation logic. However, it could briefly mention that the output is interest amounts, but the tool name makes this clear.

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?

Schema description coverage is 83%. The description adds meaning by explaining how each parameter is used in the interest calculation, e.g., 'per-installment shortfalls' and 'safe harbors', which goes beyond the schema's field descriptions.

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 computes sections 234B and 234C interest on advance-tax shortfalls, with specific formulas and rules. This distinguishes it from sibling tools like compute_tax and schedule_advance_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 implies use when computing interest on advance tax shortfalls, but it does not explicitly state when to use or not use this tool versus alternatives. No exclusions are provided.

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/Sagargupta16/itr-mcp'

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