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mindfullabai

journalowl-mcp

by mindfullabai

journal_create_entry

Create a new journal entry to record your thoughts, feelings, or experiences. Include optional mood, tags, and date, then finalize to receive AI analysis.

Instructions

Create a new journal entry in JournalOwl. Entry is created with status "in_progress". Use journal_finalize_entry to generate AI analysis and complete the entry.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateNoOptional date for the entry in ISO 8601 format (e.g., "2024-01-15"). Defaults to today in your timezone.
moodNoOptional current mood (e.g., "happy", "anxious", "peaceful", "motivated")
tagsNoOptional tags to categorize the entry (e.g., ["work", "gratitude", "goals"])
contentYesThe content of the journal entry. Write freely about your thoughts, feelings, or experiences.
Behavior4/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It discloses a key behavioral trait: the entry is created with status 'in_progress'. It also hints at the lifecycle by referencing journal_finalize_entry. However, it does not mention auth requirements, error conditions, or return format, which would increase transparency further.

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, front-loaded with the action, then a crucial lifecycle note and a pointer to the sibling tool. Every sentence earns its place with no redundancy.

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?

The tool is simple (one required parameter), and the schema covers all parameter semantics. The description adds valuable lifecycle context (in_progress status, finalize step) that is not present in the schema. Lacking an output schema, it does not describe return values, but that is not critical for a create tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, and each parameter has a clear description in the schema. The tool description adds no additional parameter-level meaning beyond what the schema already provides, so the baseline of 3 is appropriate.

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 uses a specific verb and resource: 'Create a new journal entry in JournalOwl.' It also states the initial status ('in_progress') and explicitly differentiates from the sibling tool journal_finalize_entry by directing users to it for completion.

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

Usage Guidelines5/5

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

The description clearly states when to use this tool (to create an entry) and provides an explicit alternative for a different step (use journal_finalize_entry to generate AI analysis and complete the entry). This gives clear context for tool selection.

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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