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Zenskar MCP Server

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by zenskar

listJournalEntries

listJournalEntries

Retrieve paginated journal entries filtered by date, status, account, or job. Use fastapi-filter syntax for precise queries.

Instructions

Retrieve a paginated list of journal entries with optional filtering by date, status, account, or job. Filters use fastapi-filter conventions (e.g. posted_at__gte=YYYY-MM-DD, lines__account_id=).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cursorNoCursor for pagination.
limitNoMaximum number of journal entries to return per page.
search_queryNoSearch query to filter journal entries.
orderNoSort order. Prefix with '-' for descending. Defaults to '-created_at'.
idNoFilter by journal entry UUID (exact match).
posted_at__gteNoPosted-at date lower bound (inclusive). Accepts ISO date YYYY-MM-DD or full datetime.
posted_at__lteNoPosted-at date upper bound (inclusive).
status_typeNoFilter by status. Common values: 'posted', 'draft'.
description__ilikeNoCase-insensitive partial match on description.
job_idNoFilter by originating job UUID (e.g. revenue recognition batch).
lines__account_idNoFilter entries having a line on this account UUID.
__userContextNoInternal user context for multi-tenant authentication and approval workflow
Behavior4/5

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

No annotations are provided, so the description carries the full burden. It states pagination, filtering, and gives filter syntax examples. It does not detail rate limits or auth requirements but covers the main behavior.

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?

Two sentences, no wasted words. The first sentence states purpose and filtering, the second gives conventions. Front-loaded and efficient.

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?

Given no output schema, the description adequately covers pagination and filtering. It could hint at the return fields, but 'paginated list of journal entries' is sufficient for common understanding.

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%, baseline 3. The description adds value by explaining filter conventions (fastapi-filter) and providing example syntax, which goes beyond individual parameter descriptions.

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 action ('retrieve'), the resource ('paginated list of journal entries'), and the filtering options. It distinguishes from sibling tools like listJournalLines and getJournalEntry.

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 provides clear context for usage, including optional filtering and filter conventions. It does not explicitly state when not to use or name alternatives, but the purpose is well-defined.

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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