dexscreenertokeninfoagent_search_pairs

Instructions

Implementation Reference

• mesh_mcp_server/server.py:39-53 (registration)

  DexScreenerTokenInfoAgent is explicitly listed in the default supported agents, enabling registration of its tools such as dexscreenertokeninfoagent_search_pairs.

  # Default supported agents
  DEFAULT_AGENTS = [
      "CoinGeckoTokenInfoAgent",
      "DexScreenerTokenInfoAgent",
      "ElfaTwitterIntelligenceAgent",
      "ExaSearchAgent",
      "TwitterInfoAgent",
      "AIXBTProjectInfoAgent",
      "EtherscanAgent",
      "EvmTokenInfoAgent",
      "FundingRateAgent",
      "UnifaiTokenAnalysisAgent",
      "YahooFinanceAgent",
      "ZerionWalletAnalysisAgent"
  ]

• mesh_mcp_server/server.py:189-217 (registration)

  Dynamic tool registration from agent metadata: constructs tool_id as lowercase(agent_id)_tool_name, matching 'dexscreenertokeninfoagent_search_pairs' for DexScreenerTokenInfoAgent's 'search_pairs' tool; stores schema, description, etc. in registry.

      for tool in agent_data.get("tools", []):
          if tool.get("type") == "function":
              function_data = tool.get("function", {})
              tool_name = function_data.get("name")
  
              if not tool_name:
                  continue
  
              # Create a unique tool ID
              tool_id = f"{agent_id.lower()}_{tool_name}"
  
              # Get parameters or create default schema
              parameters = function_data.get("parameters", {})
              if not parameters:
                  parameters = {
                      "type": "object",
                      "properties": {},
                      "required": [],
                  }
  
              # Store tool info
              tool_registry[tool_id] = {
                  "agent_id": agent_id,
                  "tool_name": tool_name,
                  "description": function_data.get("description", ""),
                  "parameters": parameters,
              }
  
  # Log which agents contributed tools

• mesh_mcp_server/server.py:224-262 (handler)

  Core execution handler: takes agent_id and tool_name (parsed from tool_id), sends POST to Mesh API /mesh_request with tool and arguments, returns result. This implements the logic for dexscreenertokeninfoagent_search_pairs.

  async def execute_tool(
      self, agent_id: str, tool_name: str, tool_arguments: Dict[str, Any]
  ) -> Dict[str, Any]:
      """Execute a tool on a mesh agent.
  
      Args:
          agent_id: ID of the agent to execute the tool on
          tool_name: Name of the tool to execute
          tool_arguments: Arguments to pass to the tool
  
      Returns:
          Tool execution result
  
      Raises:
          ToolExecutionError: If there's an error executing the tool
      """
      request_data = {
          "agent_id": agent_id,
          "input": {"tool": tool_name, "tool_arguments": tool_arguments},
      }
  
      # Add API key if available
      if Config.HEURIST_API_KEY:
          request_data["api_key"] = Config.HEURIST_API_KEY
  
      try:
          result = await call_mesh_api(
              "mesh_request", method="POST", json=request_data
          )
          return result.get("data", result)  # Prefer the 'data' field if it exists
      except MeshApiError as e:
          # Re-raise API errors with clearer context
          raise ToolExecutionError(str(e)) from e
      except Exception as e:
          logger.error(f"Error calling {agent_id} tool {tool_name}: {e}")
          raise ToolExecutionError(
              f"Failed to call {agent_id} tool {tool_name}: {str(e)}"
          ) from e

• mesh_mcp_server/server.py:300-319 (handler)

  MCP call_tool handler: looks up tool_info from registry by name (e.g. dexscreenertokeninfoagent_search_pairs), extracts agent_id/tool_name, calls execute_tool with arguments, returns result as TextContent.

  @app.call_tool()
  async def call_tool(name: str, arguments: dict) -> List[types.TextContent]:
      """Call the specified tool with the given arguments."""
      try:
          if name not in self.tool_registry:
              raise ValueError(f"Unknown tool: {name}")
  
          tool_info = self.tool_registry[name]
          result = await self.execute_tool(
              agent_id=tool_info["agent_id"],
              tool_name=tool_info["tool_name"],
              tool_arguments=arguments,
          )
  
          # Convert result to TextContent
          return [types.TextContent(type="text", text=str(result))]
      except Exception as e:
          logger.error(f"Error calling tool {name}: {e}")
          raise ValueError(f"Failed to call tool {name}: {str(e)}") from e

• mesh_mcp_server/server.py:288-298 (schema)

  MCP list_tools exposes the schema (inputSchema) from remote agent metadata for each registered tool, including dexscreenertokeninfoagent_search_pairs.

  @app.list_tools()
  async def list_tools() -> List[types.Tool]:
      """List all available tools."""
      return [
          types.Tool(
              name=tool_id,
              description=tool_info["description"],
              inputSchema=tool_info["parameters"],
          )
          for tool_id, tool_info in self.tool_registry.items()
      ]