Skip to main content
Glama
Sign In
lightbulb-mcp

lightbulb-mcp

by RPasquale
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Remote

it_ops_live_slack

Access live Slack data from the IT-Ops workspace to monitor operations and respond to incidents in real time.

Instructions

Live Slack data passthrough for the IT-Ops workspace.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "it_ops_live_slack"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.8/5.0
Behavior2/5

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

No annotations are provided, so the description must fully disclose behavioral traits. It only says 'data passthrough,' implying read-only data retrieval, but fails to mention authentication, rate limits, or whether data is live or cached. The output schema exists but is not described.

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 a single concise sentence that front-loads the key concept. It is efficient, but could benefit from a bit more context to improve usefulness without becoming verbose.

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?

Despite having an output schema (mitigating the need to explain return values), the description lacks completeness by not specifying what Slack data is passed through (e.g., messages, channels). No annotations exist to fill gaps, leaving the agent underinformed.

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 zero parameters, so schema coverage is 100%. The description cannot add parameter meaning beyond the schema, but the absence of parameters makes this dimension less critical. The description is adequate.

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?

Description states it's a 'Live Slack data passthrough' for the IT-Ops workspace, indicating the resource and scope. However, the verb 'passthrough' is vague and not standard, failing to clearly specify whether it retrieves, forwards, or streams data. It is distinguishable from sibling it_ops_live_* tools by naming Slack.

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 explicit guidance on when to use this tool vs alternatives. While sibling it_ops_live_* tools suggest service-specific usage, no when/when-not criteria are provided. Many Slack-specific tools exist, but no differentiation is made.

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

Deploy Server

Other Tools