Skip to main content
Glama

it_ops_autonomous_it_consultancy

Execute autonomous IT consultancy for operations. Provide an objective and optional inputs to receive automated guidance and solutions.

Instructions

Run the it_ops domain agent action autonomous_it_consultancy.

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
messageNo
inputsNo{}

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations, the description must disclose behavioral traits. It mentions routing through a domain-agent dispatcher but does not indicate destructive potential, required permissions, cancellability, or output behavior. This leaves significant unknowns for a tool that runs an 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 and front-loaded with the action name and routing info. Parameter bullet points are clear and efficient. No redundant phrases; each sentence adds value.

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?

The tool runs an autonomous consultation action, but the description omits expected outputs, side effects, or success/failure conditions. Though an output schema exists (not shown), the description should still provide high-level context on what the action returns or triggers, which it lacks.

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

Parameters3/5

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

Schema coverage is 0%, so the description adds minimal meaning: 'message: Free-text objective for the action' and 'inputs: Optional JSON string of structured inputs'. This is better than nothing but lacks constraints, examples, or formatting details needed for proper usage.

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

Purpose3/5

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

The description states it 'Run the it_ops domain agent action `autonomous_it_consultancy`', which is a clear verb-action pair, but lacks specifics on what the consultancy entails. The purpose is vague; the agent knows it executes an action but not what kind of consultation it performs.

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?

No guidance on when to use this tool versus siblings like it_ops_analysis_review or it_ops_autonomous_delivery_loop. The description merely states it routes through a dispatcher, providing no context for proper selection.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/RPasquale/lightbulb-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server