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ClaudioLazaro

MCP Datadog Server

get_dora_deployment

Retrieve deployment events from Datadog APIs to monitor and manage software release processes using the MCP Datadog Server.

Instructions

Use this API endpoint to get a deployment event.

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, so the description carries full burden. It states 'get a deployment event', implying a read-only operation, but doesn't disclose behavioral traits like authentication needs, rate limits, error handling, or what constitutes a 'deployment event'. For a tool with zero annotation coverage, this leaves critical gaps in understanding how it behaves.

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 a single sentence, which is concise, but it's under-specified rather than efficiently informative. It wastes space on generic phrasing ('Use this API endpoint') instead of delivering essential context. While not verbose, it fails to front-load useful information.

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

Completeness2/5

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

Given no annotations, no output schema, and a vague description, this is incomplete for a tool that likely returns deployment data. The agent lacks details on what 'deployment event' means, the return format, or any operational constraints. For a tool in a complex ecosystem with many siblings, this description is inadequate.

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 input schema has 0 parameters with 100% coverage, so no parameter documentation is needed. The description doesn't add param info, which is appropriate. Baseline is 4 for zero-param tools, as the schema fully covers the absence of inputs.

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 'Use this API endpoint to get a deployment event' restates the tool name 'get_dora_deployment' without adding specificity. It mentions 'deployment event' but doesn't clarify what a DORA deployment is, what data it returns, or how it differs from similar tools like 'get_dora_failure' or 'create_dora_deployments_v2' among siblings. This is essentially a tautology with minimal added value.

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?

The description provides no guidance on when to use this tool versus alternatives. With many sibling tools (e.g., 'get_dora_failure', 'create_dora_deployments_v2'), there's no indication of context, prerequisites, or distinctions. The agent must infer usage from the name alone, which is insufficient for effective tool selection.

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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