MCP Datadog Server

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 discloses that the mapping data is 'updated on a monthly cadence,' which is useful behavioral context. However, it does not mention other traits like whether this is a read-only operation, potential rate limits, authentication requirements beyond organization level, or what the output format looks like. The description adds some value but leaves gaps.

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

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

The description is efficiently structured in three sentences: purpose, update cadence, and access restriction. Each sentence adds essential information without waste. It is front-loaded with the core purpose, making it easy for an agent to quickly understand the tool's function.

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

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

Given the tool has no parameters, no annotations, and no output schema, the description does a decent job covering the basics: purpose, update frequency, and access restrictions. However, for a tool that likely returns structured mapping data, the description lacks details on the output format, which could hinder an agent's ability to use the results effectively. It is minimally adequate but could be more complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has 0 parameters with 100% coverage, meaning no parameters are documented in the schema. The description does not need to compensate for missing parameter documentation. It appropriately focuses on the tool's purpose and constraints without redundant parameter information, earning a baseline score of 4 for zero-parameter tools.

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

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

The description clearly states the tool's purpose with specific verbs and resources: 'Get a mapping of billing dimensions to the corresponding keys for the supported usage metering public API endpoints.' It distinguishes itself from sibling tools by focusing on billing dimension mappings, unlike other 'get_' tools that retrieve usage data or summaries.

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

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

The description provides clear context for when to use this tool: 'This endpoint is only accessible to parent-level organizations.' It also mentions the update cadence ('monthly'), which helps set expectations. However, it does not explicitly state when not to use it or name alternative tools for similar purposes.

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