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Synci

List transactions

list_transactions
Read-onlyIdempotent

List the user's financial transactions in a date window, newest first, across all account types (bank, deposit, line of credit, investment). Each row is lean by default: id, date, amount (negative = money out), currency, booked, payee, description (omitted when it duplicates payee), an account {id, name, institution} ref, and — when available — mcc, category, and bank_details (raw provider metadata: transaction/purpose codes, currency-exchange info, and the MCC category text that banks put in additional_information — useful for categorising spend when enrichment is off). Pass "verbose": true for the full, raw transaction record.

Investment rows also carry: type (raw activity, e.g. BUY / SELL / DIVIDEND / CRYPTO_SEND), is_cash_flow, units, and price_per_unit (the effective per-unit price in this row's currency, = |amount| / units). IMPORTANT for "what did I spend": rows with is_cash_flow=false are asset transfers or income-in-kind (crypto send/receive, staking, stock splits) — NOT money spent; exclude them from spending totals. Use amount, units and price_per_unit for trade figures; ignore any price written into the description string (it is the provider's own and can be in a different currency).

Dates: "date" is Synci's per-account authoritative date by default (what the user sees; "spending in June" means this). Override with date_field "booking" or "value" to filter/sort/show a specific date instead. Both booked and pending transactions are returned by default; filter with status ("all" | "booked" | "pending", default "all"). Pending amounts can still change.

Coverage: meta.earliest_available_date is the date the queried accounts are synced from. If it is later than your "from", the window is only PARTIALLY covered — data before it was never synced (not absent), so any total would silently under-report. Caveat the coverage, or narrow "from" to it.

Pagination: results are bounded by the date window and "limit" (default 50, max 100). Check meta.has_more: if true, request the next page by passing meta.next_cursor as "cursor" (keyset paging, no gaps or overlap). Sensitive identifiers (IBAN, account numbers, etc.) are always omitted.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
toNoOptional end date (YYYY-MM-DD), inclusive. Defaults to today.
fromNoOptional start date (YYYY-MM-DD), inclusive. Defaults to 30 days before "to".
limitNoOptional max rows to return (1-100). Defaults to 50. Check meta.has_more and page with meta.next_cursor.
cursorNoOptional. Pass meta.next_cursor from a previous call to fetch the next page (keyset paging).
statusNoFilter by settlement status. Defaults to "all" (booked + pending).
verboseNoWhen true, return the full raw transaction record instead of the lean shape.
account_idNoOptional. Restrict to a single financial account (id from list_accounts). Omit to span all accounts.
date_fieldNoWhich date to filter/sort/show on. "mapped" (default) is Synci's authoritative per-account date; "booking" or "value" force a specific field.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYesNewest first. Lean rows omit null/empty keys; with verbose:true each item is the full raw transaction record instead.
metaYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.8/5.0
Behavior5/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint, and the description adds substantial behavioral context: pending amounts can still change, rows with is_cash_flow=false are not money spent, coverage can silently under-report totals, pagination is keyset, and sensitive identifiers are always omitted. There is no contradiction with the annotations.

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?

Long, but every section earns its place: row shape, spend semantics, trade semantics, date behavior, coverage, pagination, and privacy are each covered in focused paragraphs. The most important usage warning is prominently marked and front-loaded.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a complex 8-parameter read tool with no required arguments, the description covers defaults, output row structure, edge cases, pagination, date-field selection, and coverage limitations. An agent has everything it needs to call the tool correctly and interpret the results, even with an output schema present.

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

Parameters5/5

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

All 8 parameters already have schema descriptions, and the tool description goes well beyond them by explaining the default date window, the meaning of 'mapped' dates, the effect of verbose mode, the pending-status caveat, and how to use cursor and limit for pagination. This adds meaning an agent could not derive from the schema alone.

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 opens with a specific verb and resource: 'List the user's financial transactions in a date window, newest first, across all account types', which clearly identifies what the tool does and its exact scope. This also differentiates it from the sibling tools (accounts, balances, holdings, connections) without relying on inference.

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?

The description gives strong operational guidance: caveat partial coverage, exclude is_cash_flow=false rows from spend totals, use amount/units/price_per_unit for trade figures, and pass meta.next_cursor to page. It does not explicitly tell the agent when to prefer a sibling tool such as get_account_balance or list_holdings, so it falls just short of full alternative-routing guidance.

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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