ad4m_list_perspectives
Retrieves a list of all Perspectives from the local AD4M executor to inspect semantic memory.
Instructions
List all Perspectives on the local AD4M executor.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Retrieves a list of all Perspectives from the local AD4M executor to inspect semantic memory.
List all Perspectives on the local AD4M executor.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries full burden. It states 'List all Perspectives' implying a read operation, but does not disclose side effects, authentication requirements, error handling, or return format.
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?
Single sentence with key information front-loaded. No wasted words or unnecessary details.
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?
For a simple list operation with no parameters and no output schema, the description is adequate but minimal. It does not mention the structure of returned data or behavior when no perspectives exist, which would be helpful.
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?
Input schema has zero parameters, and schema coverage is 100%. Per guideline, baseline is 4. The description adds no parameter info, which is acceptable since none exist.
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 uses specific verb 'List' and resource 'Perspectives' with scope 'local AD4M executor'. It clearly distinguishes from siblings like ad4m_create_perspective or ad4m_get_neighbourhood.
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 guidance on when to use this tool vs siblings. While the purpose is clear, the description does not state when to prefer list_perspectives over other tools like get_neighbourhood or create_perspective.
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/thefranceway/mcp-ad4m'
If you have feedback or need assistance with the MCP directory API, please join our Discord server