Skip to main content
Glama

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

A4.6/5.0
Behavior5/5

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

The description discloses key behavioral traits beyond annotations: it overrides automatic categorization, teaches Pluggy by creating a Category Rule, and explains batch behavior with per-item errors not failing the whole batch. This adds significant context beyond 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.

Conciseness4/5

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

The description is relatively long but front-loaded with purpose and includes essential details on side effects and response shape. Every sentence adds value; no unnecessary verbosity, though it could be slightly more concise.

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 no output schema and a complex batch update with side effects, the description is highly complete: it covers input structure, side effect (Category Rule creation), batch error handling, and full response shape. No gaps left for an agent to infer.

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?

The schema has no parameter descriptions (0% coverage), but the tool description explains the structure of the 'items' array, the required fields (transaction_id, category_id), and their sources. This adds useful meaning beyond the raw 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 verb 'Corrects the category of one or more transactions' and specifies the endpoint (PATCH /transactions/:id). It distinguishes from sibling tools by referencing where to obtain transaction_id and category_id (openfinance_list_transactions and openfinance_list_categories), avoiding ambiguity.

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?

Explicitly states when to use: 'use this to fix miscategorized transactions' and explains the side effect of creating a Category Rule, guiding appropriate use. However, it does not explicitly state when not to use the tool.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

A4/5.0
Disambiguation4/5

Most tools have clearly distinct purposes, especially the openfinance_* family, but there is some overlap: openfinance_list_transactions and openfinance_list_transactions_by_item both cover transaction listing (though the latter is aggregated by connection), and openfinance_get_account_balance vs openfinance_list_accounts both return balance info. Descriptions are detailed enough to guide selection, so ambiguity is limited but present.

Naming Consistency4/5

The 19 openfinance_* tools follow a consistent verb_noun pattern (list_accounts, get_balance, force_sync). The remaining generic tools (connect, authenticate, marketplace, report_bug, etc.) don't share the prefix but use clear verb-style names. Two conventions exist, but within each group naming is predictable and readable.

Tool Count3/5

25 tools is at the high end but supports the dual scope: platform management (connect, auth, marketplace) and comprehensive Open Finance data access (19 tools). The count feels slightly heavy, especially with the massive marketplace tool that bundles many actions into one, but it's justified by the breadth of the financial domain.

Completeness4/5

The Open Finance surface is quite complete: accounts, balances, transactions, bills, loans, investments, categories, connections, sync, and provider status are all covered. Missing minor operations like updating categories is present, but there is no obvious gap like missing update/delete for transactions (not applicable). The platform side is minimal but sufficient for auth and info.