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Banking Assistant (Metabind demo)

get_net_worth

get_net_worth
Read-onlyIdempotent

Net worth history + account balances. Numbers to reason with — to display, use net_worth_trend.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
periodNoHow far back the trend goes. Ignored when startDate/endDate are given.1y
endDateNoRange end, YYYY-MM-DD. Defaults to today.
groupByNoGranularity of the returned series. Each point carries that period's CLOSING balance. 'auto' picks a readable granularity for the span; set it explicitly to compare periods against each other — 'year' over a two-year range gives one point per year, 'month' gives one per month.auto
summaryNoOmit the `points` series and return only the headline figures and accounts. Use this when you want the numbers to comment on rather than to chart — it is a fraction of the size of a full result.
startDateNoRange start, YYYY-MM-DD. Defaults to a year before endDate.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
savedNo
startNo
changeNo
incomeNo
periodNo
pointsNo
currentNo
endDateNo
groupByNo
accountsNo
spendingNo
startDateNo
change_pctNo
periodLabelNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / required
      Added value: +[]
  2. First observed

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and non-destructive, so the safety profile is covered. The description adds the meaningful behavioral trait that the output is raw numbers intended for reasoning rather than presentation, which is genuine context beyond the structured fields.

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?

Two terse sentences with the resource stated first and the routing rule second. No filler; every clause earns its place.

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?

Output schema exists and annotations are rich, so return values need not be explained. The description covers the key reasoning-vs-display decision, which is the main ambiguity for this tool; only minor pagination/size nuance in the summary parameter is left to the schema.

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 100%, so all five parameters (period, startDate, endDate, groupBy, summary) are already well documented in the schema, including enum behavior and defaults. The description adds no parameter guidance, so the baseline 3 applies.

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?

States exactly what comes back — net worth history plus account balances — a specific resource and scope. It also names the sibling it is not (net_worth_trend), so an agent can route between them without opening either schema.

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

Usage Guidelines4/5

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

Gives an explicit selection rule: use this tool when you need numbers to reason with, and use net_worth_trend when the goal is display. The alternatives condition is clear, though no other exclusions or prerequisites are covered.

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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