MCP Datadog Server

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

No annotations are provided, so the description carries the full burden. It states this is a read operation ('returns'), implying it's non-destructive, but doesn't disclose any behavioral traits like authentication requirements, rate limits, error conditions, or what happens if the rule_id doesn't exist. For a retrieval tool with zero annotation coverage, this is a significant gap in transparency.

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 a single, efficient sentence with no wasted words. It's front-loaded with the core action and resource. Every word earns its place, making it highly concise and well-structured for quick understanding.

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 (0 parameters, no output schema, no annotations), the description is minimal but inadequate. It doesn't explain what a 'monitor notification rule' is, what data is returned, or any context about the retrieval operation. For a tool that likely returns structured data, more completeness is needed to guide the agent effectively.

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?

The input schema has 0 parameters (schema description coverage is 100%), so there are no parameters to document. The description mentions 'by `rule_id`', which might imply a parameter, but since the schema shows none, this could be misleading. However, with 0 parameters, the baseline is 4 as the description doesn't need to compensate for any schema gaps.

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 clearly states the tool's purpose: 'Returns a monitor notification rule by `rule_id`.' It specifies the verb ('returns'), the resource ('monitor notification rule'), and the key input parameter. However, it doesn't distinguish this tool from sibling tools like 'get_monitor_notification_rules' (plural) which likely returns multiple rules, so it misses full sibling differentiation.

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 provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., needing a valid rule_id), when-not scenarios, or point to related tools like 'get_monitor_notification_rules' for listing multiple rules. The agent must infer usage from the tool name alone.

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