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start_all_services

Starts all services in an Ambari cluster simultaneously. Returns request information for progress tracking.

Instructions

Starts all services in an Ambari cluster (equivalent to "Start All" in Ambari Web UI).

[Tool Role]: Dedicated tool for bulk starting all services in the cluster, automating mass startup.

[Core Functions]:

  • Start all installed services simultaneously

  • Return request information for progress tracking

  • Provide clear success or error message for LLM automation

[Required Usage Scenarios]:

  • When users request to "start all services", "start everything", "cluster startup"

  • When recovering cluster after maintenance or outage

  • When users mention mass startup, bulk start, or cluster bring-up

Returns: Start operation result (success: request info, failure: English error message)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It discloses that the tool returns progress tracking info and error messages, but does not mention prerequisites, potential side effects, or authorization needs, which is acceptable for a non-destructive start operation.

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 sections and front-loaded with the main purpose. It is slightly verbose but every section adds value and maintains readability.

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

Completeness5/5

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

Given no annotations, zero parameters, and an output schema mentioned, the description fully covers the tool's functionality, return values, and usage scenarios, making it complete for an automated agent.

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?

The input schema has no parameters (0 params), so the description correctly adds no additional parameter information. Per rules, baseline for 0 params is 4.

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 starts all services in an Ambari cluster, with a specific verb (starts) and resource (all services). It distinguishes from siblings like start_service and restart_all_services by emphasizing bulk startup.

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 'Required Usage Scenarios' section lists explicit contexts where this tool should be used, such as cluster startup or recovery. However, it does not explicitly mention when not to use it or name alternative tools for single service operations.

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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