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ClaudioLazaro

MCP Datadog Server

update_rum_config_metric

Modify Real User Monitoring metric configurations in Datadog to customize performance tracking and analytics for web applications.

Instructions

Update a specific rum-based metric from your organization. Returns the rum-based metric object from the request body when the request is successful.

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 of behavioral disclosure. While it mentions that the tool returns the metric object from the request body, it doesn't address important behavioral aspects like required permissions, whether this is a destructive operation, rate limits, or error conditions. For a mutation tool with zero annotation coverage, this is insufficient.

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

Conciseness4/5

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

The description is appropriately concise with two sentences that each serve a purpose: the first states the action, and the second describes the return value. There's no wasted language, though it could be slightly more front-loaded with key information.

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 mutation tool with no annotations, no output schema, and many sibling tools, the description is incomplete. It doesn't explain what 'rum-based metric' means, what fields can be updated, or how this differs from other update operations. The return value description is helpful but insufficient for full contextual understanding.

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 parameter situation. The description doesn't need to add parameter information, and it doesn't contradict the schema. A baseline of 4 is appropriate for tools with no parameters where the schema coverage is complete.

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 ('Update') and resource ('a specific rum-based metric from your organization'), providing a specific verb+resource combination. However, it doesn't differentiate this tool from sibling tools like 'update_rum_application' or 'update_rum_application_retention_filters', which would be needed for a score of 5.

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. With many sibling update tools in the system (including other RUM-related updates), there's no indication of what makes this metric update operation distinct or when it should be selected over other options.

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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