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 of behavioral disclosure. It mentions the tool is for 'providing data,' which implies a write operation, but doesn't specify permissions required, rate limits, side effects, or response format. This is inadequate for a tool with zero annotation coverage, leaving significant gaps in understanding its behavior.

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 brief and structured into two parts: a purpose statement and a bulleted list of supported metrics. It avoids unnecessary details, but the first sentence could be more direct (e.g., 'Submit deployment data for DORA metrics'). Overall, it's efficient with minimal waste.

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's complexity (implied by DORA metrics integration) and lack of annotations and output schema, the description is insufficient. It doesn't explain what data format to provide, how deployments are defined, or what happens after submission. For a tool with no structured behavioral or output information, more context is needed to guide effective use.

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% description coverage, so no parameter details are needed. The description doesn't add parameter information, which is acceptable given the schema's completeness. A baseline of 4 is appropriate as the schema fully documents the absence of parameters, and the description doesn't need to compensate.

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 states the tool is used to 'provide data about deployments for DORA metrics,' which clarifies its purpose as a data submission tool for DORA metrics. However, it doesn't specify the exact action (e.g., create, submit, or upload) or differentiate from sibling tools like 'create_dora_deployments_v2_2' or 'create_dora_failures_v2,' making it vague in comparison.

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 lists the DORA metrics this tool supports (Deployment Frequency, Change Lead Time, Change Failure Rate), which implies usage contexts. However, it provides no explicit guidance on when to use this tool versus alternatives (e.g., other DORA-related tools), prerequisites, or exclusions, leaving the agent with minimal direction.

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