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Expense Tracker

Expense Tracker

by amxn18
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

Summarize Expenses

summarize_expenses

Calculate total expenses and credits between two dates to review and analyze spending over a specific period.

Instructions

Summarize expenses between two dates.

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": {
      "from_date": "<from_date>",
      "to_date": "<to_date>"
    },
    "name": "summarize_expenses"
  }
}

Input Schema

NameRequiredDescriptionDefault
to_dateYes
from_dateYes

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.1/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden of disclosing behavior. 'Summarize' implies an aggregate/read-only operation, but the description does not state whether it mutates data, what kind of summary is produced, or any operational caveats. It is minimally transparent but leaves important traits unstated.

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 clear sentence with no filler. It front-loads the verb and resource and immediately states the date-range scope. Every word earns its place.

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 simple two-parameter tool with an output schema present, the description is nearly adequate: an agent can infer the tool takes a date range and produces a summary. However, it does not clarify what kind of summary is produced or how this differs from the sibling list_expenses, leaving a meaningful completeness gap.

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?

Schema description coverage is 0%, so the description must compensate. It adds the meaning that from_date and to_date form a date range ('between two dates'), which is useful, but it does not clarify inclusivity, format expectations beyond the schema, or any additional constraints. This is partial compensation, not full.

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 uses a specific verb ('summarize') and resource ('expenses') and specifies a date-range scope, making the operation clear. It does not, however, explicitly distinguish itself from list_expenses, which is the closest sibling and could also be interpreted as covering date-filtered expense data.

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 use summarize_expenses versus list_expenses or other siblings. The date-range phrasing implies a use case, but no explicit condition, exclusion, or alternative routing is provided.

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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