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start_continuous_hub_tool

Start a persistent background security tool on a hub server. Automatically provisions a container and returns a session ID for monitoring and stop commands.

Instructions

Start a continuous/background tool on a hub server.

Automatically starts a persistent container if not already running, then calls the server's start tool (e.g., cargo_fuzz_start) which launches a background process and returns a session_id.

The tool runs indefinitely until stopped with stop_continuous_hub_tool. Use get_continuous_hub_status to monitor progress.

Example workflow for continuous cargo fuzzing:

  1. start_continuous_hub_tool("cargo-fuzzer-mcp", "cargo_fuzz_start", {"project_path": "/data/myproject"})

  2. get_continuous_hub_status(session_id) -- poll every 10-30s

  3. stop_continuous_hub_tool(session_id) -- when done

:param server_name: Hub server name (e.g., "cargo-fuzzer-mcp"). :param start_tool: Name of the start tool on the server. :param arguments: Arguments for the start tool. :return: Start result including session_id for monitoring.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
server_nameYes
start_toolYes
argumentsNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

No annotations are provided, so the description carries full weight. It discloses key behaviors: automatically starts a persistent container, launches a background process, returns a session_id, and runs indefinitely until stopped. This is comprehensive.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is well-structured with a main sentence, details, and parameter list. It is slightly lengthy but not overly verbose. Could be trimmed slightly.

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 the tool's complexity (3 parameters, output schema exists), the description is complete: explains return value (session_id), provides workflow, and references sibling tools for monitoring and stopping.

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

Parameters5/5

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

Schema coverage is 0%, but the description includes parameter documentation in docstring style: server_name, start_tool, and arguments with examples. This adds significant meaning beyond the bare schema.

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 the tool's purpose: starting a continuous/background tool on a hub server. It distinguishes from sibling tools like 'execute_hub_tool' and 'start_hub_server' by specifying it's for long-running processes.

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?

The description provides an explicit workflow example with cargo fuzzing, mentioning monitoring with 'get_continuous_hub_status' and stopping with 'stop_continuous_hub_tool'. It doesn't explicitly state when not to use, but the workflow is clear.

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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