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get_journal_page

Retrieve a Logseq journal page for any date. Converts common date formats to Logseq's journal format automatically, with optional child blocks.

Instructions

Get a journal page by date. Automatically converts the date to Logseq's journal format.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateYesThe date for the journal page. Accepts various formats: ISO (2023-12-25), US (12/25/2023), or already formatted (December 25th, 2023)
include_childrenNoWhether to include child blocks

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4/5.0
Behavior3/5

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

No annotations are provided, so the description is the only behavioral signal. It discloses one useful behavior — automatic conversion of the input date to Logseq's journal format. However, it does not address what happens if the page does not exist, whether any write side effects occur, or what the return payload contains.

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 short sentences convey the core purpose and a key behavior with no filler. The most important information is front-loaded in the first sentence.

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?

For a low-complexity getter with fully described parameters, the description and schema together are sufficient for invoking the tool correctly. The lack of an output schema and any mention of the response or missing-page behavior leaves modest gaps, though not enough to impede correct use.

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 already documents both date and include_children with full descriptions (100% coverage), so the baseline is 3. The description adds extra value by explicitly noting that dates are converted into Logseq journal format, which elaborates on the date parameter beyond the schema's accepted-formats list.

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 states a specific action ('Get'), a specific resource ('journal page'), and the key selection criterion ('by date'), which clearly separates it from siblings like get_page or search_pages. The additional note about date conversion reinforces the tool's unique scope.

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 conveys the intended use case (obtaining a journal page on a given date), but does not explicitly contrast it with alternatives such as get_page or search_pages, nor state when not to use it. The usage context is clear enough to infer, but no exclusions or routing guidance is included.

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