generate_alert_link

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

Annotations only provide readOnlyHint=true. The description adds the URL pattern and states it returns a direct link, which confirms no side effects. It doesn't mention authentication or rate limits, but for a simple link generator this is sufficient.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is well-structured with clear sections and front-loaded purpose. While somewhat verbose, each section adds value. Could be tightened slightly, but is effective and not overly long.

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

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

Given the tool's simplicity (one parameter, no output schema), the description covers return value, use cases, workflow, and related tools. It is fully self-contained and leaves no ambiguity for an AI agent.

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

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

Schema coverage is 100%, so baseline is 3. The description adds context by explaining in the workflow how to obtain the alertId (from list_alerts), but does not provide additional syntax or format details beyond the schema. This is adequate but not exceptional.

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

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

The description starts with a clear verb and resource: 'Generate a direct URL/link/weburl for a LogicMonitor (LM) alert.' It explicitly distinguishes from sibling tools by specifying the alert context, and the use cases and workflow further reinforce the purpose.

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

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

The description includes a 'When to use' section listing concrete scenarios like Slack notifications and incident tickets, and a 'Related tools' section that names alternatives. It suggests a workflow starting with list_alerts, but does not explicitly state when not to use this tool or compare directly to sibling generate link tools.

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