get_map
Retrieve a full mind map structure including all connected nodes by specifying the map ID.
Instructions
Read one full map including its complete node tree.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| mapId | Yes | The map id. |
Retrieve a full mind map structure including all connected nodes by specifying the map ID.
Read one full map including its complete node tree.
| Name | Required | Description | Default |
|---|---|---|---|
| mapId | Yes | The map id. |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description only indicates a read operation. It lacks disclosure of potential performance implications for large maps, authentication requirements, or any side effects, leaving behavioral gaps.
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?
The description is a single, front-loaded sentence that efficiently conveys the tool's action and scope without any extraneous words.
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 single-parameter tool with no output schema, the description adequately covers the core functionality. However, it could mention that this is the primary method to get all map data, but overall it's complete enough.
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 coverage is 100% with a clear description for mapId, but the tool description adds no additional meaning or context beyond the schema, so it meets baseline without enhancement.
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 tool reads a full map including its complete node tree. It distinguishes itself from siblings like get_node (single node) and list_maps (listing only).
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?
The description implies usage for retrieving the entire map, but does not explicitly guide when to use this tool versus alternatives like get_node for a single node or get_subtree for a branch.
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/MohGanji/mindmapio-mcp'
If you have feedback or need assistance with the MCP directory API, please join our Discord server