get_app_info
Retrieve Logseq app information. Optionally specify a key to get details on a particular setting.
Instructions
Return Logseq app info, optionally for a specific key.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| key | No |
Retrieve Logseq app information. Optionally specify a key to get details on a particular setting.
Return Logseq app info, optionally for a specific key.
| Name | Required | Description | Default |
|---|---|---|---|
| key | No |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, and the description only says 'Return,' implying a read operation. It does not disclose any side effects, permissions, or behavior beyond a simple fetch. The absence of output schema further limits transparency.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
A single, efficient sentence with no redundant information. Every word contributes to the purpose.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool is simple (one optional param, no output schema), the description is too minimal. It does not specify what 'app info' includes or how the key filters results, leaving the agent with insufficient context to use the tool effectively.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, but the description adds meaning by stating the key is optional and for filtering. However, it does not elaborate on valid key values or formats, leaving the parameter somewhat ambiguous.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the verb ('Return'), resource ('Logseq app info'), and optional key filtering, distinguishing it from sibling tools focused on blocks, pages, tags, etc.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No explicit guidance on when to use this tool versus alternatives like get_current_graph. Usage is implied from the resource name, but no when-not-to-use or prerequisites are mentioned.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/Johnsonxd4/mcp-logseq'
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