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dreamiurg

Datadog MCP Server

by dreamiurg

get_logs_pipeline_order

Fetch the ordered list of log pipeline IDs, revealing the processing order for log pipelines.

Instructions

Get the ordered list of log pipeline IDs, showing the processing order for log pipelines.

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, and the description only mentions the result (ordered list) without disclosing any behavioral aspects like read-only guarantee, potential failure modes, or resource requirements. Minimal transparency.

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 sentence of 14 words with no wasted verbiage, clearly communicating the tool's function.

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?

For a no-parameter, no-output-schema tool, the description is mostly complete, specifying what is returned (ordered list of IDs) and its significance (processing order). Slight ambiguity about the order direction (ascending/descending) prevents a 5.

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 no parameters, so schema coverage is 100%. The description adds no parameter information, but given zero parameters, no additional semantics are needed. Baseline score of 4 is appropriate.

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 it retrieves an ordered list of log pipeline IDs for processing order, distinguishing it from sibling tools like get-log-pipelines which likely return full pipeline details.

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

Usage Guidelines3/5

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

The description implies usage for getting pipeline order but provides no when-to-use or when-not-to-use guidance, nor references alternatives among siblings.

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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