Skip to main content
Glama

appflowy_get_chat_settings

Retrieve AI chat settings including name, RAG IDs, and metadata by providing workspace and chat IDs.

Instructions

Get an AI chat's settings (name, rag_ids, metadata).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
workspace_idYes
chat_idYes
Behavior2/5

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

No annotations are provided, so the description must carry the burden. It implies a read-only operation ('Get'), but does not explicitly state it is non-destructive, safe, or free of side effects. No authentication or rate limit information is given.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is very concise and front-loaded with the action, but it omits necessary details about parameters and behavior. While not verbose, the brevity comes at the cost of completeness.

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?

With no output schema and no annotations, the description is incomplete. It lists return fields (name, rag_ids, metadata) but does not explain their structure or semantics. The agent lacks sufficient context to use the tool reliably.

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

Parameters1/5

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

Schema description coverage is 0% and the description does not explain the parameters (workspace_id, chat_id). The agent has no information on what these IDs represent or how to obtain them, making correct invocation difficult.

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 verb 'Get' and the resource 'AI chat's settings', listing specific attributes (name, rag_ids, metadata). It effectively distinguishes from sibling tools such as appflowy_update_chat_settings and appflowy_create_chat.

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?

No explicit guidance on when to use this tool versus alternatives. It does not mention prerequisites, required permissions, or comparison with similar tools like appflowy_get_page or appflowy_get_workspace_settings.

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/weironz/appflowy_mcp'

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