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MCP Datadog Server

MCP Datadog Server

by ClaudioLazaro
OverviewSchemaSourceRelated ServersDiscussionsAdmin
JavaScript
Remote

update_dashboard_lists_manual_dashboards

Modify dashboards within an existing Datadog dashboard list to organize and maintain monitoring views.

Instructions

Update dashboards of an existing dashboard list.

Tool call template

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": "update_dashboard_lists_manual_dashboards"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

C2.9/5.0
Behavior2/5

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

No annotations are provided, so the description carries full burden. It implies a mutation ('Update') but doesn't disclose behavioral traits such as required permissions, whether changes are reversible, rate limits, or what the operation entails (e.g., bulk updates, atomic changes). This is a significant gap for a mutation 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.

Conciseness5/5

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 and resource, making it easy to parse quickly. Every word earns its place, achieving optimal conciseness.

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 the complexity of a mutation tool with no annotations, no output schema, and zero parameters, the description is incomplete. It lacks details on behavior, return values, error conditions, or how it differs from similar tools. For a tool that modifies dashboard lists, more context is needed to guide effective use.

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 input schema has 0 parameters with 100% description coverage, so there are no parameters to document. The description doesn't need to add parameter semantics, and it appropriately avoids mentioning any. Baseline is 4 for zero parameters, as the schema fully covers the absence of inputs.

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

Purpose3/5

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

The description 'Update dashboards of an existing dashboard list' clearly states the verb ('Update') and resource ('dashboards of an existing dashboard list'), but it's somewhat vague about what 'dashboards' refers to (e.g., adding/removing dashboards, modifying dashboard settings). It doesn't distinguish from sibling tools like 'update_dashboard_lists_manual' or 'update_dashboard', leaving ambiguity about scope.

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?

No guidance is provided on when to use this tool versus alternatives. With siblings like 'update_dashboard_lists_manual' (likely updating list metadata) and 'update_dashboard' (likely updating dashboard content), the description offers no context on prerequisites, distinctions, or exclusions, leaving the agent to infer usage.

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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