Skip to main content
Glama

it_ops_chat

Execute the it_ops domain agent chat action by sending a free-text objective and optional structured inputs. Routes through the domain-agent dispatcher under your JWT, tenant, and company scope.

Instructions

Run the it_ops domain agent action chat.

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?

The description mentions routing through a domain-agent dispatcher under JWT/tenant/company scope, providing minimal auth context. However, it does not disclose whether the tool performs read, write, or other side effects, nor any rate limits or cost implications, which is a gap given no annotations are provided.

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?

The description is extremely concise: two sentences and two bullet-point args with no redundant information. Every sentence adds value and the structure is front-loaded, making it efficient for an agent to parse.

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

Completeness3/5

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

Given the tool is a simple chat action with an output schema (not shown), the description does not need to detail return values. However, it lacks context on appropriate use cases or limitations, which is notable given the many specialized sibling tools. It is minimally viable but could be more complete.

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?

With 0% schema description coverage, the description compensates by defining both parameters: 'message' as 'Free-text objective' and 'inputs' as 'Optional JSON string of structured inputs.' This adds meaningful semantics beyond the schema, though examples or constraints would further improve clarity.

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[s] the it_ops domain agent action chat,' indicating a generic conversational tool for IT operations. However, 'chat' is vague and does not differentiate it from many other it_ops tools (e.g., it_ops_incident_response) or domain-specific chat tools (e.g., commerce_chat, engineering_chat), so its specific purpose is unclear.

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 is provided on when to use this tool versus sibling tools (e.g., it_ops_monitoring_check, it_ops_aws_cli) or when not to use it. The description only explains what the tool does without any contextual usage advice.

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