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start_hub_server

Start a persistent Docker container session for security tools like radare2 or ghidra, maintaining state across multiple tool calls for continuous analysis.

Instructions

Start a persistent container session for a hub server.

Starts a Docker container that stays running between tool calls, allowing stateful interactions. Tools are auto-discovered on start.

Use this for servers like radare2 or ghidra where you want to keep an analysis session open across multiple tool calls.

After starting, use execute_hub_tool as normal - calls will be routed to the persistent container automatically.

:param server_name: Name of the hub server to start (e.g., "radare2-mcp"). :return: Session status with container name and start time.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
server_nameYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations provided, so description bears full burden. It discloses starting a Docker container, keeping it running, auto-discovering tools, and routing calls. It also mentions return value. Could add more on lifecycle and stopping (though sibling exists).

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?

Concise, well-structured with intro, usage context, param docstring, and return docstring. Every sentence adds value; no fluff.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given one parameter and presence of output schema, description covers key aspects. Missing edge cases like server already running, but sufficient for typical use.

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

Parameters4/5

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

Schema has 0% coverage, but description provides a param docstring with example ('radare2-mcp'). This adds meaning beyond the schema. Could improve by referencing list_hub_servers for valid names.

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

Purpose5/5

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

The description clearly states it starts a persistent container session for a hub server, with examples like radare2 or ghidra. It distinguishes from sibling tools like stop_hub_server by focusing on starting stateful sessions.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly says use for servers like radare2 or ghidra where stateful sessions are needed. It does not explicitly mention when not to use, but the context implies that one-off calls might not need this. Could add a note about alternatives like execute_hub_tool.

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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