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openfinance_update_transaction_category

Corrects the category of one or more transactions (PATCH /transactions/:id). Pass items as an array of { transaction_id, category_id } — transaction_id comes from openfinance_list_transactions, category_id from openfinance_list_categories. This overrides Pluggy's automatic categorization AND teaches Pluggy: recategorizing a transaction automatically creates a Category Rule for this client (case-insensitive exact match on the transaction's data), so FUTURE similar transactions are categorized the same way — use this to fix miscategorized transactions and improve categorization accuracy going forward. Batch shape: returns { updated, results: [{ transaction_id, category, categoryId }], errors: [{ id, status, message }] } — per-item errors do not fail the whole batch.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
itemsYes

TDQS

A4.7/5.0
Behavior5/5

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

Annotations only provide basic hints (readOnlyHint=false, destructiveHint=false). The description adds crucial behavioral details: it overrides automatic categorization, teaches Pluggy by creating Category Rules, details batch behavior with per-item error handling, and specifies that errors don't fail the whole batch.

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 somewhat lengthy but every sentence adds value. It is front-loaded with the main action. Slightly more structured formatting could improve readability, but it is efficient.

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?

With no output schema and 1 parameter, the description covers all necessary context: behavior, response format (updated, results, errors), side effects, and parameter sources. It is fully complete for an agent to understand and invoke correctly.

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?

Input schema has 0% description coverage, so the description must fully explain parameters. It thoroughly describes the 'items' array structure, required fields (transaction_id, category_id), and explicitly sources these IDs from sibling tools, adding meaning beyond 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?

The description clearly states the tool corrects transaction categories and identifies the HTTP method and resource (PATCH /transactions/:id). It distinguishes itself from sibling tools like openfinance_list_transactions and openfinance_list_categories by explaining where to get the IDs.

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 explains when to use the tool (fix miscategorized transactions, improve future categorization) and mentions the side effect of creating a Category Rule. It lacks explicit statements of when not to use it, but context is clear.

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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TDQS

A4.1/5.0
Disambiguation4/5

Most tools have clearly distinct purposes (e.g., force_sync vs get_item_status, list_accounts vs get_accounts_detail). Minor overlap exists between list_transactions and list_transactions_by_item, and between get_account_balance and list_accounts (which also contains balance), but descriptions clarify when each should be used.

Naming Consistency4/5

All openfinance_* tools follow a consistent snake_case verb_noun pattern (list, get, force_sync, disconnect, update). The generic tools (authenticate, connect, marketplace, report_bug, show_version, toolkit_info) are also lowercase with underscores where needed, though they lack the openfinance prefix. No mixing of camelCase or chaotic patterns, so mostly consistent with minor deviation.

Tool Count3/5

25 tools is on the heavy side for a single server, but justified given the breadth of Open Finance operations (accounts, transactions, bills, loans, investments, connections, categories, provider status). The count is borderline heavy but not excessive for the domain, though some consolidation could be possible (e.g., merging get_account_balance into list_accounts).

Completeness5/5

The tool surface covers the full lifecycle for financial data: listing, getting details, forcing syncs, disconnecting, updating categories, checking provider status, and handling investments/loans/bills. No obvious dead ends; even connection management includes search, connect URLs, and re-authentication flows. The set appears comprehensive for its intended purpose.