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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). A page may hold fewer rows than "limit" (the user can exclude transactions from outbound channels), so never read a short page as the end of the data; only has_more=false is. 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

A4.7/5.0
Behavior5/5

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

Goes far beyond annotations. Annotations only declare readOnly, idempotent, and non-destructive. The description adds critical behaviors: investment rows semantics (type, is_cash_flow, units, price_per_unit), the caveat that pending amounts can change, coverage limitation via meta.earliest_available_date, pagination with keyset cursor and meta.has_more, and the guarantee that sensitive identifiers are omitted. No contradiction with annotations.

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?

The description is long (~400 words) but well-structured into clear sections. Every sentence adds necessary detail for a complex tool with 8 parameters and nuanced behaviors. It front-loads the core purpose and then layers details logically. While it could be trimmed slightly, the thoroughness is justified given the complexity.

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?

Given the tool's complexity (investment rows, coverage caveats, pagination, sensitive data, multiple date fields), the description covers all critical aspects an agent needs to call it correctly. The output schema exists, and the description adds context on interpretation (e.g., is_cash_flow) that is essential. Nothing important appears missing.

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?

Schema coverage is 100%, so baseline is 3, but the description substantially enriches parameter meaning. It explains date_field ('mapped' vs 'booking' vs 'value'), clarifies limit behavior (page may hold fewer rows), describes cursor usage, and details verbose vs lean shape. It also clarifies that 'date' defaults to Synci's authoritative date, adding nuance not in the schema.

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 a specific verb and resource: 'List the user's financial transactions in a date window, newest first, across all account types.' It enumerates account types and distinguishes itself from sibling tools (list_accounts, list_holdings, get_account_balance, list_connections) by clearly focusing on transactions. No ambiguity about what it does.

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?

Provides extensive usage context: how to interpret investment rows for spending, when to use verbose, how to handle coverage gaps, and pagination instructions. It does not explicitly name alternative tools, but the purpose is so distinct that routing is obvious. The 'IMPORTANT' note on is_cash_flow is an explicit when-to-use-this-tool guideline for spending analysis.

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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