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ruliana

mcp-pkm-logseq

by ruliana

get_personal_notes_instructions

Retrieve instructions on how personal notes are organized in Logseq, including common tags, their meanings, and workflows.

Instructions

Get instructions on how to use the get_personal_notes tool.

This will return instructions on how the user organizes their personal notes in Logseq.

It will contain common tags (topics), what they mean, and the workflows the user
uses to organize their notes.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

With no annotations, the description carries the full burden. It indicates a read operation returning instructions and organizational details, but does not specify output format (e.g., plain text), response size, or any side effects. More detail would improve transparency.

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?

The description is two concise sentences, front-loaded with the core purpose, and every sentence adds meaningful context. No wasted words.

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?

For a simple instruction tool with no parameters and no output schema, the description fully covers what it does and what it returns. It is complete given the tool's simplicity.

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

Parameters5/5

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

There are no parameters (0 params, 100% schema coverage). The description adds valuable meaning by explaining what the tool returns (instructions, tags, workflows), exceeding the baseline for zero-parameter tools.

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 it returns instructions on using the get_personal_notes tool, specifically the user's organization in Logseq including tags and workflows. It distinguishes from siblings like get_personal_notes (retrieves notes) and get_todo_list (retrieves todos).

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 implies usage when needing guidance on querying personal notes, but does not explicitly state when not to use or mention alternatives beyond naming siblings. The context is clear but lacks exclusion criteria.

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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