Skip to main content
Glama
dreamiurg

Datadog MCP Server

by dreamiurg

get-trace

Retrieve all spans for a specific trace ID to view the complete request flow across services, including timing, service, resource, and error information.

Instructions

Get all spans for a specific trace ID. Use after search-spans to see the full request flow across services. Returns all spans in the trace with timing, service, resource, and error information.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
traceIdYesThe trace ID to retrieve (hexadecimal string)
fromNoStart time (defaults to 'now-1h')
toNoEnd time (defaults to 'now')
Behavior2/5

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

No annotations are provided, so the description must disclose behavioral traits. However, it only mentions what the tool returns (spans with timing, service, resource, error info) without addressing side effects, permissions, or rate limits. The read-only nature is implicit but not explicit, leaving 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 two sentences: the first states the core function, the second provides usage context and return details. No fluff, every sentence adds value, and it is well-structured for quick agent parsing.

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

Completeness4/5

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

Given the lack of output schema and annotations, the description covers the tool's workflow placement and return information. It omits details like default time range (though implied by defaults) and error handling, but is mostly sufficient for a simple get tool.

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 coverage is 100% with all parameters described in the input schema (traceId, from, to with types and defaults). The description does not add additional meaning beyond the schema, earning a baseline score of 3.

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

Purpose5/5

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

The description clearly states the tool retrieves all spans for a specific trace ID, distinguishing it from sibling tools like search-spans. The verb 'get' and resource 'trace' are specific and unambiguous.

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

Usage Guidelines4/5

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

The description explicitly advises to use this tool 'after search-spans to see the full request flow across services', providing clear context and workflow guidance. While it doesn't list when not to use it, the instruction is sufficient.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/dreamiurg/datadog-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server