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Omkar4141

Expense Tracker MCP Server

by Omkar4141

get_total

Calculate total expenses from the Expense Tracker MCP Server to monitor spending and track financial overview.

Instructions

Get total of all expenses

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Implementation Reference

  • main.py:60-67 (handler)
    The @mcp.tool decorator registers the get_total function as a tool. This async handler computes and returns the total sum of all expense amounts from the SQLite database.
    @mcp.tool
    async def get_total() -> float:
        """Get total of all expenses"""
        await init_db()
        cursor = conn.cursor()
        cursor.execute('SELECT SUM(amount) as total FROM expenses')
        result = cursor.fetchone()
        return result['total'] or 0.0
Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. It states what the tool does but reveals nothing about how it works: no indication of data freshness, calculation method, error conditions, or response format. For a tool with zero annotation coverage, this leaves significant behavioral gaps.

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 description is a single, efficient sentence that communicates the core purpose without any fluff. It's appropriately sized for a simple tool with no parameters. Every word earns its place, and the structure is front-loaded with essential information.

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?

Given the tool's simplicity (0 parameters, has output schema), the description is minimally adequate. The output schema will handle return value documentation, reducing the description's burden. However, for a tool with no annotations, it should ideally provide more behavioral context about calculation method or data scope to reach completeness.

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?

The tool has zero parameters with 100% schema description coverage, so the schema already fully documents the parameter situation. The description appropriately doesn't waste space discussing non-existent parameters. Baseline for zero parameters is 4, as there's nothing to compensate for and no misleading information.

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?

The description clearly states the verb ('Get') and resource ('total of all expenses'), making the purpose immediately understandable. It distinguishes from sibling 'get_all_expenses' by focusing on the aggregated total rather than individual items. However, it doesn't specify the exact scope (e.g., time period, categories) which prevents a perfect score.

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?

The description provides no guidance on when to use this tool versus alternatives like 'get_all_expenses'. It doesn't mention scenarios where a summary total is preferred over detailed listings, nor does it indicate any prerequisites or constraints for usage. The agent must infer usage context from the tool name alone.

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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