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Glama

it_ops_cloud_ops

Destructive

Execute IT operations cloud actions by sending a message or structured inputs to the cloud ops agent.

Instructions

Run the it_ops domain agent action cloud_ops.

Routes through the platform's domain-agent dispatcher under your JWT, tenant, and company scope.

Args: message: Free-text objective for the action. inputs: Optional JSON string of structured inputs for the action.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
inputsNo{}
messageNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.9/5.0
Behavior3/5

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

Annotations already declare destructiveHint=true and readOnlyHint=false, so the base safety profile is conveyed. The description adds context that the call routes through the domain-agent dispatcher under JWT/tenant/company scope, which is useful. However, it does not disclose what side effects cloud_ops may have or which resources it may affect, which is notable for a destructive action.

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 short, front-loaded with the core purpose, and uses a clean Args section. It contains no filler or redundant restatements of the schema. It could add more behavioral detail without becoming bloated.

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

Completeness2/5

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

For a destructive, open-world action with zero parameter descriptions, the definition is incomplete: it does not explain what cloud_ops does, what inputs it expects beyond generic JSON, or when to prefer it over related it_ops siblings. The output schema may cover return shape, but selection and invocation semantics are under-specified.

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

Parameters2/5

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

Schema description coverage is 0%, so the description is the only source of parameter meaning. It labels message as 'Free-text objective' and inputs as 'Optional JSON string,' which adds minimal meaning, but it does not explain the expected JSON structure or how inputs relate to the action. This is weak compensation for a schema with no parameter descriptions.

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

Purpose4/5

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

The description opens with a specific verb and resource: 'Run the it_ops domain agent action cloud_ops.' It also clarifies that the tool routes through the platform's domain-agent dispatcher, making its role as a dispatch wrapper clear. However, it never states what cloud_ops actually accomplishes, so differentiation from sibling it_ops actions is incomplete.

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

Usage Guidelines2/5

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

There is no guidance on when to use this tool versus alternatives such as it_ops_cloud_delivery_setup, it_ops_inventory_cloud, or dispatch_domain_agent. The description only explains the routing scope (JWT, tenant, company) but not when an agent should select cloud_ops over other tools. An agent would have to infer usage from the name.

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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