Skip to main content
Glama
ergut

MCP server for LogSeq

by ergut

get_page_content

Retrieve the content of any LogSeq page by specifying its name, with options for output format, nesting depth, and reference resolution.

Instructions

Get the content of a specific page from LogSeq.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
page_nameYesName of the page to retrieve
formatNoOutput format (text or json)text
max_depthNoMaximum nesting depth to display (default: -1 for unlimited)
resolve_refsNoResolve [[uuid]] page references to [[Page Name]] in DB mode (default: true)
Behavior2/5

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

No annotations are present, so the description must convey behavioral traits. While 'Get' implies a read-only operation, it does not disclose potential side effects, authorization needs, rate limits, or error scenarios. The description is insufficient for a tool with no annotations.

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 a single sentence that conveys the core purpose without unnecessary words. It is highly efficient and front-loaded, meeting the standard for conciseness.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description lacks details about return values, output format, or how the content is structured. Given that no output schema exists and there are 4 parameters, the description should explain that the content is returned in the specified format (e.g., text or JSON) and potentially mention nesting or reference resolution behavior.

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?

The input schema covers all parameters with descriptions (100% coverage), so the baseline is 3. The description adds no additional parameter-level information, but the schema already adequately explains each parameter’s purpose and defaults.

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 tool retrieves page content from LogSeq, using a specific verb ('Get') and resource ('content of a specific page'). This differentiates it from sibling tools like list_pages (which lists pages) or delete_page (destructive operation).

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives. It does not mention prerequisites, limitations, or contrast with sibling tools like search or query. The agent is left to infer usage without explicit context.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/ergut/mcp-logseq'

If you have feedback or need assistance with the MCP directory API, please join our Discord server