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FinanceGenius.AI

Calculate SIP returns

calculate_sip
Read-only

Calculate future value of a Systematic Investment Plan (SIP).

    Args:
        monthly_amount: Monthly SIP contribution in rupees.
        annual_return_pct: Expected annual return (e.g. 12 for 12%).
        years: Investment horizon in years.
    

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
yearsYes
monthly_amountYes
annual_return_pctYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, openWorldHint=false, and destructiveHint=false, so the agent knows this is a pure, side-effect-free computation. The description adds nothing beyond that behavioral profile (no compounding assumption, no rounding/currency caveats), so it neither earns extra credit nor contradicts anything.

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 one-line purpose is front-loaded, and the Args block is terse and structured with no filler. Every line contributes information about the calculation inputs.

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 simple pure-math tool with no output schema and no nested objects, the description covers purpose and all three inputs completely. It could go further by stating the compounding assumption behind the result, which matters for an agent explaining figures to a user.

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 0%, so the description must carry the parameter burden, and it does: it gives units (rupees for monthly_amount), format (12 for 12%), and meaning (investment horizon in years) for all three required arguments. It lacks compounding-frequency assumptions, which keeps it out of 5 territory.

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

Purpose4/5

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

States a specific verb (Calculate) and resource (future value of a SIP), so an agent can distinguish it from calculate_cagr, calculate_emi, or calculate_fd_maturity. It does not explicitly name those siblings, so it stops short of a 5.

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 guidance on when to prefer this tool over the many sibling calculators, nor any stated preconditions or exclusions. The name implies 'SIP projection', but the agent must infer that all on its own.

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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