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 of behavioral disclosure. The description reveals nothing about whether this is a read-only operation, whether it requires specific permissions, what time range it covers, whether it's paginated, what format the results take, or any rate limits. For a tool with zero annotation coverage, this represents a complete failure to disclose behavioral traits.

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 extremely concise ('Aggregate logs analytics') but this brevity comes at the cost of meaningful information. While technically efficient with zero wasted words, it's under-specified rather than appropriately concise. A single phrase doesn't constitute a helpful description structure.

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 has no annotations, no output schema, and a minimal description, the description is completely inadequate. For an analytics tool that presumably returns aggregated data, the description should explain what kind of aggregation occurs, what metrics are calculated, what time periods are covered, and what the output looks like. The current description provides none of this essential context.

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 tool has 0 parameters with 100% schema description coverage (empty schema). Since there are no parameters to document, the description doesn't need to compensate for any gaps. The baseline for 0 parameters is 4, as there's no parameter information to provide beyond what the schema already indicates (none).

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 'Aggregate logs analytics' is a tautology that essentially restates the tool name. It lacks a specific verb indicating what kind of aggregation operation is performed (e.g., summarize, calculate, compute) and doesn't specify what resource or data is being aggregated beyond 'logs analytics'. While it mentions 'logs', it doesn't distinguish this from sibling tools like 'aggregate_logs_analytics' which appears to be nearly identical.

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 absolutely no guidance on when to use this tool versus alternatives. There's no mention of prerequisites, appropriate contexts, or comparisons to sibling tools like 'aggregate_logs_analytics' (which appears to be a similar tool) or other analytics tools in the extensive sibling list. The agent receives no usage direction.

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