The Tool Desk
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What “agent” means here
For this article, an agent is a goal-directed system with a loop: it receives context, selects an action, and carries that action out using capabilities available to it. The system may operate under limits such as permissions, user approvals, or a defined task scope. This definition is a practical framing; the MCP specification reviewed here does not establish a general definition of an agent.
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A tool call by itself does not make a system an agent. The key idea is the system’s role in pursuing a goal through choices and actions. A conventional application that only carries out a fixed request may use tools without having the broader, goal-directed behavior described here.
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The distinction borrows from object-oriented programming. A class describes a reusable design; an instance is one particular realization of that design. Applied to agents, the class is a blueprint for behavior and interfaces, while an instance is a particular agent with a current task and, depending on its implementation, its own context, state, and permissions.
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| Concept | What it represents | Example |
|---|---|---|
| Agent class | A reusable design describing behavior and available interfaces. | A design for an assistant that triages support requests and can look up account details. |
| Agent instance | One particular realization of that design, operating with its current context and task. | A running support assistant handling one customer’s request with the permissions configured for that run. |
The analogy has limits: not every implementation uses formal classes or creates a separate software object for each run. “Class” and “instance” are a way to distinguish reusable design from a particular execution, not required MCP concepts. State, context, and permissions belong to an instance only when the implementation gives it those properties; MCP does not assign them automatically.
How MCP’s roles differ from an agent
MCP is an open protocol for connecting LLM applications to external data sources and tools. Its specification uses JSON-RPC 2.0 and separates three roles: a host, which is the LLM application initiating connections; a client, which is a connector within a host; and a server, which provides context and capabilities. These are protocol roles, not synonyms for “agent.” (MCP specification, 2026-07-28.)
| Layer or role | What it describes | What it does not establish by itself |
|---|---|---|
| Agent | A goal-directed system’s behavior and use of capabilities, as defined for this article. | Whether it uses MCP or any particular protocol. |
| MCP host | The LLM application that initiates MCP connections. | That the application is necessarily an agent. |
| MCP client | A connector within a host that communicates with MCP servers. | That the connector independently pursues a goal. |
| MCP server | A service that provides context and capabilities to clients. | That the service is itself an agent. |
An agent can use a host application and its MCP client to reach one or more MCP servers. But participating in an agentic workflow does not automatically make the host, client, or server an agent. The agent is a system-level behavior concept; MCP specifies communication and capabilities between software roles.
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What MCP provides to an application
The 2026-07-28 specification describes server features including resources, prompts, and tools, as well as client elicitation. It also identifies Tasks, MCP Apps, and Skills over MCP as extensions. These features can support agent workflows, but they do not define an agent’s identity, goal, or lifecycle.
Tools can invoke arbitrary code, so standardizing how a tool is exposed does not make its use automatically safe. MCP’s security guidance emphasizes user consent and control, privacy, and careful treatment of tool behavior; it requires explicit user consent before tool invocation. The application still needs to handle what a tool can do and what authority the user has granted. (MCP specification, 2026-07-28.)
Does stateless MCP make an agent stateless?
No. In the 2026-07-28 specification, MCP’s protocol core uses stateless, self-contained requests with capability negotiation on each request. The MCP maintainers’ release post describes retiring the earlier initialize/initialized exchange and session header. The post also describes optional server discovery, header-based routing, cache hints, and other changes. Those are protocol-level design choices, not requirements that an application discard its own state. (MCP maintainers’ release post, July 28, 2026.)
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The distinction is like the difference between a message’s delivery mechanism and the work system using it. An application can retain an agent’s task, context, or identity across multiple stateless MCP calls if its own design does so. Changing the transport does not, by definition, turn one agent instance into another or end its lifecycle.
The release post says requests are self-describing and may be routed to any server instance; it describes Mcp-Method and Mcp-Name headers for routing, cache hints and deterministic ordering for list responses, and MRTR for server requests such as elicitation without a continuously open bidirectional stream. It also says Tasks moved to an extension and authorization was hardened, including a shift away from Dynamic Client Registration toward Client ID Metadata Documents. These are version-specific details; implementation guidance and deprecation status can change as SDKs evolve.
The same post describes Roots, Sampling, Logging, and legacy HTTP+SSE as deprecated with a minimum twelve-month window. That is the maintainers’ stated window in the July 28, 2026 post, not a claim that every implementation has already removed those features. Check the current specification and SDK guidance when making an implementation decision.
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A practical way to classify an implementation
When deciding whether a particular system is an agent, or comparing two agent implementations, separate behavior from protocol wiring. These questions help make the distinction concrete:
- Goal: Does the system pursue an objective beyond simply returning a fixed response?
- Action selection: Does it choose among available actions based on context, or only execute a predetermined sequence?
- Capabilities: What tools or other interfaces can it use, including any MCP-provided capabilities?
- State ownership: Where are task context and ongoing state kept—in the application, an agent instance, or another component?
- Authority: Which actions are permitted, and where is user approval required?
- Lifetime: Is the run short-lived, or can work continue across requests or longer-running tasks?
These are design questions, not claims that MCP dictates a particular agent architecture. They help avoid confusing a protocol connector with the system that decides what to do, or assuming that protocol-level statelessness settles how an application manages state.
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