Retrieve hourly log usage data by index to monitor and analyze log consumption patterns in Datadog.
Get hourly usage for logs by index.
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": "get_usage_logs_by_indexs"
}
}| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
v1.0.0Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries full burden but only states the action without behavioral details. It doesn't disclose if this is a read-only operation, requires permissions, has rate limits, returns paginated data, or what the output format is. This is a significant gap for a tool with zero annotation coverage.
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, making it easy to parse quickly, though it could benefit from more detail given the lack of annotations.
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 complexity of usage logging, no annotations, and no output schema, the description is incomplete. It fails to explain what 'hourly usage' returns (e.g., metrics, timestamps), behavioral constraints, or how it differs from sibling tools, leaving the agent under-informed for proper invocation.
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, so the schema fully documents the lack of inputs. The description doesn't add parameter details, but with no parameters, this is acceptable. Baseline is 4 as it doesn't need to compensate for missing schema information.
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 'Get hourly usage for logs by index' states a clear verb ('Get') and resource ('hourly usage for logs by index'), but it's somewhat vague about what 'hourly usage' entails (e.g., metrics, counts, or detailed logs). It doesn't distinguish from siblings like 'get_logs_events' or 'logs_aggregate_analytics', leaving ambiguity in scope.
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?
No guidance is provided on when to use this tool versus alternatives. The description lacks context on prerequisites, timing (e.g., real-time vs. historical), or comparisons to sibling tools like 'get_usage_hourly_usages' or 'aggregate_logs_analytics', leaving the agent without usage direction.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.