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expense-tracker-mcp-server

expense-tracker-mcp-server

by MeetSolanki2260
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python

summarize

Summarize expenses by category within a specified date range, helping you quickly understand spending patterns and identify where your money goes during any period.

Instructions

Summarize expenses by category within an inclusive date range.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "start_date": "<start_date>",
      "end_date": "<end_date>"
    },
    "name": "summarize"
  }
}

Input Schema

NameRequiredDescriptionDefault
categoryNo
end_dateYes
start_dateYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.7/5.0
Behavior3/5

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

No annotations are provided, so the description carries the behavioral burden. It discloses that the date range is inclusive, which is useful, but it does not mention whether the operation is read-only, what metrics are returned, or how categories with no expenses are handled.

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 front-loaded sentence with no redundancy or filler. Every word contributes to the tool's core behavior.

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?

For a three-parameter summarization tool, the description gives the essential operation but leaves gaps. With no annotations and no output schema, it should say more about the return shape, optional category behavior, and what 'summarize' actually computes.

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?

The schema provides no descriptions for any parameter (0% coverage), so the description must compensate. It adds meaning by connecting category to grouping and start_date/end_date to an inclusive range, but it does not clarify whether category is a filter or required grouping key, nor the expected date format.

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 states a specific verb ('summarize') and resource ('expenses'), and adds the grouping dimension (by category) and date range scope. This clearly distinguishes it from the sibling tools add_expense and list_expenses.

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

Usage Guidelines3/5

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

The intended use is implied: summarize rather than add or list expenses. However, there is no explicit guidance about when to prefer this tool over list_expenses or what scenarios it is not suited for, leaving some inference to the agent.

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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