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datadog-mcp-server

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get-logs-metric

Retrieve a log-based metric definition by providing the metric name.

Instructions

Get a specific log-based metric definition by name

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
metricIdYesThe name of the log-based metric. Example: logs.my_custom_count
Behavior3/5

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

No annotations are present, so the description must convey behavior. It indicates a read operation (get), which is clear, but it does not disclose additional traits such as error handling if the metric does not exist, authentication needs, or idempotency beyond what is obvious from the verb.

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

Conciseness5/5

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

The description is a single, front-loaded sentence with no wasted words. It efficiently communicates the tool's purpose.

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

Completeness4/5

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

For a simple get operation, the description is mostly complete. However, it lacks details about the return value structure and error conditions. Given no output schema, a brief note about the response could improve completeness, but it is not critical for a basic read tool.

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

Parameters3/5

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

Schema coverage is 100% for the single parameter (metricId), and the schema already provides a description and example. The tool description adds only the phrase 'by name', which does not significantly enhance understanding beyond the schema.

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

Purpose5/5

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

Description clearly states the action (Get) and resource (specific log-based metric definition by name), distinguishing it from sibling tools like list-logs-metrics, create-logs-metric, delete-logs-metric, and update-logs-metric.

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

Usage Guidelines3/5

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

The description implies usage when a specific metric definition is needed, but it does not explicitly state when to use this tool versus alternatives like list-logs-metrics for listing all metrics. No when-not or alternative guidance is provided.

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

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