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Banking Assistant (Metabind demo)

transaction_list

transaction_list
Read-onlyIdempotent

Render transaction_list: Individual purchases for a category or a merchant: the window total plus the matching transactions. It loads its own data. Plain terms like 'restaurants', 'groceries' or 'gas' resolve to categories; omit both filters for all spending. Do NOT use this when the user asks how much they spent over the last 3, 6 or 12 months — that is a period comparison, so use trend_card with chartStyle:'bar' instead.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
noteNoUsually omit this. Optional one-line insight rendered inside the card. Only pass it when you ALREADY have the figures in hand from a call you made for another reason — never make an extra tool call just to write a note, because that round trip delays the card itself. When you do add one, say something the card does not already show (what drove a change, what to watch), in one sentence, and never guess a number.
viewNoWhich cut of the window to open on. 'recent' is newest-first, the plain list. 'largest' leads with the biggest charges. 'unusual' shows only the charges well above what that merchant or category normally costs — this is the answer to "anything odd this month", not a spending breakdown. The user can switch between the offered cuts on the card without asking again, so pick the one that answers the question and leave the rest to them. Use `views` to change which cuts are offered.recent
limitNoMax transactions to load. Raise past the default 20 only if the user wants the full list.
viewsNoWhich cuts to offer as segments on the card. Omit for all three, which is usually right — the user can then explore without asking again. Narrow it only when a cut would be meaningless for what was asked: a single-merchant list has little to call unusual, and a one-week window has little to rank. Listing a single cut drops the control entirely and renders a plain list, so use that when the question has exactly one sensible answer.
periodNoWindow: 7d, 30d, mtd (this month so far), lastMonth (the whole previous calendar month), 3mo, 6mo, ytd, 1y or all. Ignored when startDate/endDate are given. Defaults to mtd.
endDateNoWindow end, YYYY-MM-DD.
categoryNoCategory or plain term, e.g. 'Food & Dining', 'restaurants', 'rent', 'gas'. Omit for all categories.
merchantNoSingle store or brand, e.g. 'Whole Foods', 'Netflix'.
nextStepsNoOne short follow-up the user might ask next, in the form icon|question — 'calendar|Show me last month'. Phrase the question the way the user would say it, and take the icon from the table in the app instructions; any other name renders blank. Always supply 2-3. The card itself ignores them.
startDateNoWindow start, YYYY-MM-DD.

Schema Changelog

Changes observed during successful MCP inspections.

  1. 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 readOnly/idempotent/non-destructive, so safety is covered; the description adds genuinely new behavior — that the card loads its own data and that the user can switch offered cuts without re-asking. It does not cover return shape or pagination, but for a read-only listing tool this is solid added context.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Three sentences, front-loaded with what it renders before the exclusion. The 'Render transaction_list:' prefix is mildly redundant with the tool name, but nothing else is wasted and the routing rule comes before the caveat.

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?

With 10 optional parameters, 100% schema coverage, and no output schema, the description covers the key gaps an agent needs: default window, the 20-item default limit, how cuts render, and the trend_card escape hatch. Only the get_transactions-vs-transaction_list boundary is left unstated.

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?

Schema coverage is 100%, so the baseline is 3, but the description adds cross-parameter semantics the schema lacks: plain terms like 'restaurants'/'gas' resolve to categories, and omitting BOTH filters means all spending. That interaction between category and merchant is not stated in the schema.

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?

States a specific verb and resource: 'Render transaction_list: Individual purchases for a category or a merchant: the window total plus the matching transactions.' It explicitly separates itself from trend_card, but it never distinguishes itself from the similarly named sibling get_transactions, leaving a real ambiguity unaddressed.

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

Usage Guidelines5/5

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

Gives explicit when-to-use conditions (filter by category or merchant; omit both for all spending) and an explicit when-not with the named alternative — multi-month total questions must use trend_card with chartStyle:'bar'. Both the routing and the exclusion are stated, not implied.

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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