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ClaudioLazaro

MCP Datadog Server

delete_logs_config_metric

Remove log-based metrics from Datadog monitoring to clean up unused or outdated configurations and optimize metric tracking.

Instructions

Delete a specific log-based metric from your organization.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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 deletion operation, implying it's destructive, but doesn't disclose critical behavioral traits like whether deletion is permanent, requires specific permissions, has side effects, or returns confirmation. For a destructive tool with zero annotation coverage, this is a significant gap.

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, efficient sentence that directly states the tool's purpose without any wasted words. It's appropriately sized and front-loaded, making it easy for an agent to quickly understand what the tool does.

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

Completeness2/5

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

Given that this is a destructive tool with no annotations, no output schema, and 0 parameters, the description is incomplete. It doesn't address the behavioral implications of deletion (e.g., permanence, permissions, confirmation) or what happens after invocation. For a mutation tool, this level of detail is inadequate.

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

Parameters4/5

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 parameters. The description doesn't need to add parameter information, and it doesn't contradict the schema. The baseline for 0 parameters is 4, as the description appropriately focuses on the tool's purpose without unnecessary parameter details.

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

Purpose4/5

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

The description clearly states the action ('Delete') and the resource ('a specific log-based metric from your organization'), which provides a specific verb+resource combination. However, it doesn't differentiate from sibling deletion tools like 'delete_logs_config_archive' or 'delete_logs_config_pipeline', which target different log configuration resources.

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

Usage Guidelines2/5

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 the metric ID), when not to use it (e.g., for non-log-based metrics), or refer to sibling tools like 'get_logs_config_metrics' for listing metrics before deletion.

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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