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explore_path

Visualize hierarchical tree structures from a specific tile to understand research idea relationships and organizational breakdowns.

Instructions

Explore the tree structure from a specific tile, showing the hierarchical breakdown

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tileIdYesID of the tile to explore from
depthNoHow many levels deep to explore (default: 10)

Implementation Reference

  • The core handler function for the 'explore_path' tool. It fetches the starting tile and recursively builds the hierarchical tree structure up to the specified depth using the private buildTileTree helper.
    explorePath(tileId: string, depth: number = 10): any {
      const tile = this.tiles.get(tileId);
      if (!tile) {
        throw new Error(`Tile ${tileId} not found`);
      }
    
      return this.buildTileTree(tile, depth);
    }
  • Private recursive helper function that constructs the tree representation from a tile, including children up to the specified depth.
    private buildTileTree(tile: Tile, depth: number): any {
      const tree: any = {
        ...tile,
        children: [],
      };
    
      if (depth > 0 && tile.childrenIds.length > 0) {
        tree.children = tile.childrenIds
          .map((childId) => {
            const child = this.tiles.get(childId);
            return child ? this.buildTileTree(child, depth - 1) : null;
          })
          .filter((child) => child !== null);
      }
    
      return tree;
    }
  • JSON schema definition for the 'explore_path' tool, specifying input parameters tileId (required) and optional depth.
    {
      name: "explore_path",
      description: "Explore the tree structure from a specific tile, showing the hierarchical breakdown",
      inputSchema: {
        type: "object",
        properties: {
          tileId: {
            type: "string",
            description: "ID of the tile to explore from",
          },
          depth: {
            type: "number",
            description: "How many levels deep to explore (default: 10)",
          },
        },
        required: ["tileId"],
      },
    },
  • src/index.ts:531-544 (registration)
    Dispatch handler in the MCP server's CallToolRequestSchema switch statement that routes 'explore_path' calls to treeManager.explorePath and formats the response.
    case "explore_path": {
      const result = treeManager.explorePath(
        args.tileId as string,
        args.depth as number | undefined
      );
      return {
        content: [
          {
            type: "text",
            text: JSON.stringify(result, null, 2),
          },
        ],
      };
    }
  • src/index.ts:393-395 (registration)
    Registration of the tools list handler that includes 'explore_path' in the TOOLS array for MCP tool discovery.
    server.setRequestHandler(ListToolsRequestSchema, async () => ({
      tools: TOOLS,
    }));
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. It mentions 'explore' and 'hierarchical breakdown', implying a read operation, but lacks details on permissions, rate limits, output format, or any side effects. This leaves significant gaps in understanding how the tool behaves beyond basic functionality.

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 a single, efficient sentence that front-loads the core purpose ('explore the tree structure') and adds necessary detail ('from a specific tile, showing the hierarchical breakdown'). There is no wasted verbiage, making it easy to parse quickly.

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?

Given the lack of annotations and output schema, the description is incomplete for a tool that likely returns complex hierarchical data. It does not address what the output contains (e.g., structure format, data types), error conditions, or behavioral nuances, leaving the agent with insufficient context for reliable use.

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

Parameters3/5

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

The input schema has 100% description coverage, clearly documenting both parameters ('tileId' and 'depth'). The description adds no additional meaning beyond the schema, such as explaining what a 'tile' represents or the implications of depth levels. Baseline score of 3 is appropriate as the schema handles parameter documentation adequately.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('explore') and resource ('tree structure from a specific tile'), with the hierarchical breakdown providing additional specificity. However, it does not explicitly distinguish this tool from similar siblings like 'get_tile' or 'search_tiles', which might also retrieve tile-related information but with different scopes or formats.

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?

The description provides no guidance on when to use this tool versus alternatives. With siblings like 'get_tile', 'search_tiles', and 'get_leaf_tiles' that might offer overlapping functionality, there is no indication of context, prerequisites, or exclusions to help an agent choose appropriately.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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