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Datadog MCP Server

by datgfg

get_monitors

Retrieve and filter Datadog monitor statuses by state, name, or tags to assess system health and identify issues.

Instructions

Get monitors status from Datadog

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
groupStatesNoFilter monitors by their states
nameNoFilter monitors by name
tagsNoFilter monitors by tags
Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. It states what the tool does but doesn't describe how it behaves: no information about authentication requirements, rate limits, pagination, error handling, or what 'status' includes. For a read operation with zero annotation coverage, this leaves significant behavioral gaps.

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 communicates the core purpose without any wasted words. It's appropriately sized for a simple retrieval tool and front-loads the essential information. Every word earns its place.

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 tool's moderate complexity (3 parameters, no output schema, no annotations), the description is insufficiently complete. It doesn't explain what 'monitors status' returns, how results are structured, or any behavioral aspects. While the schema covers parameters well, the overall context for effective tool use remains incomplete.

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 description coverage is 100%, so the schema fully documents all three parameters (groupStates, name, tags) with their purposes. The description adds no additional parameter information beyond what's in the schema. According to scoring rules, when schema coverage is high (>80%), the baseline is 3 even with no param info in the description.

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 ('Get') and resource ('monitors status from Datadog'), making the purpose immediately understandable. It doesn't explicitly differentiate from sibling tools like 'get_dashboard' or 'get_incident', but the specificity of 'monitors status' provides reasonable distinction. The description avoids tautology by not just restating the tool name.

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 like 'list_dashboards' or 'get_incident'. There's no mention of prerequisites, typical use cases, or comparison with sibling tools. The agent must infer usage from the tool name and parameters alone.

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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