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Laudus MCP by usefulapi

List journal entries

laudus_list_journal_entries
Read-only

List accounting journal entries (comprobantes) with filters, sorting, field selection and paging (rows 25 by default, at most 200). Field names follow the Laudus data model, for example journalEntryId, journalEntryNumber, date, lines.account.accountNumber, lines.debit, lines.credit. When a page is full, ask for the next one with offset = offset + limit. POST /accounting/journal/entries/list.

Input Schema

NameRequiredDescriptionDefault
limitNoRows to return, 1-200 (default 25).
fieldsNoFields to return (default: all). Nested names work, e.g. customer.name, items.quantity.
filterNoConditions, all of which must hold (AND).
offsetNoRows to skip (default 0). For the next page pass offset + limit.
order_byNoSort order.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=true, so the safety profile is covered. The description adds beyond that: the 25-row default, the 200-row ceiling, the POST endpoint, and the fact that field names follow the Laudus data model — all behavioral facts an agent needs before constructing a call.

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?

Four dense sentences, each carrying distinct information: capability scope, paging limits, field vocabulary, pagination mechanics, endpoint. Front-loaded with the purpose and no filler.

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?

Complete for a read-only filtered-list tool: paging, limits, field naming and endpoint are all present, and no output schema exists so return-shape explanation is not strictly required. The remaining gap is any hint of what a journal entry row contains or how AND-combined filters behave in practice.

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 3 is the baseline, but the description earns above that by supplying concrete domain field paths (journalEntryId, journalEntryNumber, lines.account.accountNumber, lines.debit, lines.credit) that the generic schema examples ('customer.name, items.quantity') do not provide. That is the one thing an agent cannot infer from the schema alone.

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 ('List accounting journal entries (comprobantes)') plus the four capabilities it exposes: filters, sorting, field selection and paging. It does not explicitly distinguish itself from laudus_get_journal_entry or the ledger siblings, though the list/get naming split makes the distinction inferable.

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

Usage Guidelines3/5

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

The description gives concrete operational guidance for paging ('when a page is full, ask for the next one with offset = offset + limit'), which is real usage instruction. However it says nothing about when to choose this over laudus_general_ledger, laudus_purchase_ledger or laudus_get_journal_entry — the alternatives an agent would most plausibly confuse it with.

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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