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ClaudioLazaro

MCP Datadog Server

create_notebooks

Create Datadog notebooks with custom configurations to document monitoring insights, log analysis, and metrics tracking for comprehensive observability.

Instructions

Create a notebook using the specified options.

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 'create' which implies a write/mutation operation, but doesn't disclose behavioral traits like required permissions, whether it's idempotent, rate limits, or what happens on failure. The description is too minimal to offer meaningful transparency beyond the basic action.

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 a single sentence: 'Create a notebook using the specified options.' It's front-loaded with the action and resource, and there's no wasted verbiage. However, it could be more precise (e.g., clarifying 'notebook' context), but it's efficiently structured for its length.

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 (a creation tool with no parameters but likely side effects), no annotations, and no output schema, the description is incomplete. It doesn't explain what a notebook is, what 'options' might be (even if none in schema), or what the tool returns. For a mutation tool with zero structured support, more context is needed to guide an agent effectively.

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 (since there are none), so the baseline is high. The description mentions 'specified options', which could imply parameters, but since none exist, this doesn't add or detract value. It adequately aligns with the schema's emptiness, though the phrase 'specified options' is slightly misleading given no parameters.

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 'Create a notebook using the specified options' states the action (create) and resource (notebook), but it's vague about what a 'notebook' is in this context and what 'specified options' entail. It doesn't distinguish from siblings like 'notebooks_create' or 'create_notebook' (if present), though the name itself is clear. This is a minimal viable description that conveys the basic purpose without specificity.

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. There are sibling tools like 'notebooks_create' and 'get_notebooks' that suggest overlapping functionality, but the description doesn't mention prerequisites, constraints, or when to choose this over others. It lacks any usage context or exclusions.

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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