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Datadog MCP Server

Datadog MCP Server

by brukhabtu
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Remote

GetOnDemandConcurrencyCap

Retrieve the on-demand concurrency cap to manage resource limits and avoid overloading systems, ensuring optimal performance and scalability within the Datadog MCP Server environment.

Instructions

Get the on-demand concurrency cap.

Responses:

  • 200 (Success): OK

    • Content-Type: application/json

    • Response Properties:

    • Example:

{
  "data": "unknown_type"
}

  • 429: Too many requests

    • Content-Type: application/json

    • Response Properties:

      • errors: A list of errors.

    • Example:

{
  "errors": [
    "Bad Request"
  ]
}

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": "GetOnDemandConcurrencyCap"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Output Schema

NameRequiredDescriptionDefault
dataNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

C2.3/5.0
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 mentions HTTP response codes (200, 429) and error formats, which adds some behavioral context about rate limiting and success responses. However, it doesn't disclose authentication requirements, rate limit specifics, whether this is a read-only operation, or what 'unknown_type' in the response means operationally.

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

Conciseness3/5

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

The description is reasonably concise with a brief purpose statement followed by response documentation. However, the response documentation is overly detailed for a tool description (showing HTTP status codes and JSON examples) when an output schema exists, making it somewhat bloated. The front-loaded purpose statement is clear but could be more informative.

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

Completeness3/5

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

Given that there's an output schema (which should document return values), the description doesn't need to explain response structure. However, for a tool with no annotations and unclear purpose, it should provide more operational context about what 'on-demand concurrency cap' means and when this tool is useful. The response documentation partially compensates but doesn't address core usage questions.

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 already fully documents the input requirements. The description doesn't need to add parameter information, and it correctly doesn't attempt to describe nonexistent parameters. This meets the baseline expectation for parameterless tools.

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

Purpose2/5

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

The description states 'Get the on-demand concurrency cap' which is a tautology that restates the tool name. It doesn't specify what resource this applies to (e.g., account, service, workspace) or what a 'concurrency cap' means in practical terms. Compared to siblings like 'GetUser' or 'GetDowntime', it lacks specificity about the domain context.

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

Usage Guidelines1/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided about when to use this tool versus alternatives. The description doesn't mention prerequisites, appropriate contexts, or relationships to sibling tools. For example, it doesn't clarify if this should be used before configuring resources or in conjunction with other 'Get' tools.

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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