MCP Tool Result
Industry Definition Set • Entity Resolution Path: /glossary/mcp-tool-result
Quick Answer / TL;DR
The structured response returned by an MCP server after successfully executing a tool call.
Key Takeaways
- Successful execution response from a tool call.
- Must conform to the tool's declared output schema.
- Can contain text, structured data, or binary content.
- Large results may be chunked or streamed.
Definitive Statement: The structured response returned by an MCP server after successfully executing a tool call.
Technical Context & Protocol Usage
- Detailed Explanation
- When a tool executes successfully, the server returns a JSON-RPC response with a `result` object containing the tool's output. The structure is defined by the tool's output schema. Results can be text, images, audio, or structured data. Large results may be truncated or streamed depending on the transport.
Format & Payload Metadata
Format: JSON-RPC 2.0 response with result object
Latency: Bounded by tool execution time
Real-World Implementation Use Case
A `database_query` tool returns a JSON array of rows in its tool result after executing a SELECT statement.
Cite This Page
MLA Style:
MCPserver.in Engineering. "MCP Tool Result." MCPserver.in Knowledge Hub, 20 July 2026, mcpserver.in/glossary/mcp-tool-result.
Related Terms
Model Context Protocol (MCP)
An open, secure protocol that standardizes how artificial intelligence agents and large language models (LLMs) exchange context, tools, prompts, and data resources with external servers.
JSON-RPC 2.0
A lightweight, stateless remote procedure call (RPC) protocol defined in JSON that utilizes request, response, and notification message frames.
Stdio Transport (Standard Input/Output)
A local-only transport mechanism where the AI client spawns the MCP server as a child process and communicates via standard input (stdin) and standard output (stdout) channels.
SSE Transport (Server-Sent Events)
A lightweight, unidirectional HTTP-based streaming protocol used by remote MCP servers to push messages to AI clients, with client-to-server writes sent over standard POST requests.
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