Skip to main content
Glama

tools_list_domains

List available tool domains and their tool counts to identify capabilities; load a domain to expose its full tool surface.

Instructions

List m3 tool domains (memory, chatlog, files, entity, agent, tasks, conversations, diagnostics, admin) and their tool counts. Call tools_load_domain to expose a domain's full tool surface.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
timeoutNo
databaseNo
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. However, it only states basic functionality without mentioning whether the tool is read-only, requires authentication, or has any side effects or limitations.

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 concise at two sentences, front-loading the primary purpose and providing a clear next step. Every sentence adds value without redundancy.

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

Completeness3/5

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

Given the tool's simplicity and lack of output schema, the description adequately covers the main output (domains and tool counts) but omits details on output structure and parameter usage. It mentions a follow-up tool, which helps, but overall completeness is moderate.

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%, meaning the description does not explain the two parameters (`timeout` and `database`). The schema provides only type and default values, leaving the agent without any semantic guidance on what these parameters control.

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?

Description clearly states the tool lists m3 tool domains and their tool counts, enumerating specific domains like memory, chatlog, files, etc. It distinguishes from sibling tool `tools_load_domain` by indicating that the latter exposes full tool surface, implying this tool is for overview.

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

Usage Guidelines3/5

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

Description implies usage context by listing domains and suggesting `tools_load_domain` for full surface, but lacks explicit guidance on when to use this tool versus alternatives or any conditions for use.

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/skynetcmd/m3-memory'

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