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Expense Tracker MCP Server

Expense Tracker MCP Server

by simran-mehta
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

export_expenses

Export expense data as CSV for analysis, filtering by date range or category to organize financial records.

Instructions

Export expenses as a CSV string.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "export_expenses"
  }
}

Input Schema

NameRequiredDescriptionDefault
start_dateNo
end_dateNo
categoryNo

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.9/5.0
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states the action ('Export') but doesn't clarify if this is a read-only operation, whether it requires specific permissions, or if it has side effects like generating files. The mention of 'CSV string' hints at output format but lacks details on rate limits, error handling, or data scope.

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 with zero wasted words. It's front-loaded with the core action and output, making it easy to parse quickly. Every word earns its place by conveying essential information without redundancy.

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 moderate complexity (3 parameters, no annotations) and the presence of an output schema, the description is minimally adequate. It specifies the output format ('CSV string'), which the output schema likely details further, but it doesn't address parameter meanings or behavioral traits, leaving gaps in contextual understanding.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema description coverage is 0%, so the description must compensate for undocumented parameters. It mentions no parameters at all, failing to explain the meaning or usage of 'start_date', 'end_date', and 'category'. This leaves the agent with no semantic understanding beyond the schema's structural definition.

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 ('Export') and resource ('expenses') with the output format ('as a CSV string'), making the purpose specific and understandable. However, it doesn't explicitly differentiate from sibling tools like 'list_expenses' or 'get_expense_summary', which might also retrieve expense data but in different formats or structures.

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 'list_expenses' or 'get_expense_summary'. It lacks context about scenarios where CSV export is preferred over other data retrieval methods, and doesn't mention prerequisites or exclusions.

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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