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 states this is a 'Get' operation (implying read-only) and explains the calculation basis, but doesn't disclose important behavioral traits like authentication requirements, rate limits, error conditions, response format, or whether this is a real-time vs cached analysis. For a tool with zero annotation coverage, this leaves significant 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.

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

The description is appropriately concise with two sentences. The first sentence clearly states the purpose, and the second adds useful context about the calculation basis. There's no wasted text or redundancy. However, it could be slightly more structured by explicitly separating purpose from calculation methodology.

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 (simple input), no annotations, and no output schema, the description provides basic purpose and calculation context. However, for a tool that presumably returns analysis data about cloud account security scanning coverage, the description doesn't explain what the output contains (e.g., percentages, counts, recommendations) or how to interpret it. With no output schema, this leaves the agent guessing about the return format.

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 tool has 0 parameters with 100% schema description coverage (empty schema). The description doesn't need to explain any parameters, which is appropriate. It mentions the calculation basis ('based on the number of your Cloud Accounts that are scanned for security issues'), which provides context about what data influences the analysis, but this isn't parameter-specific information.

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: 'Get the CSM Coverage Analysis of your Cloud Accounts' specifies the verb ('Get') and resource ('CSM Coverage Analysis of Cloud Accounts'). It distinguishes from siblings by focusing on cloud account coverage analysis rather than other CSM onboarding tools like 'get_csm_onboarding_coverage_analysis_hosts_and_containers' or 'get_csm_onboarding_coverage_analysis_serverless'. However, it doesn't explicitly differentiate from these specific siblings in the description text.

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 no guidance on when to use this tool versus alternatives. It mentions the calculation basis ('based on the number of your Cloud Accounts that are scanned for security issues'), but doesn't specify use cases, prerequisites, or when to choose this over other CSM coverage analysis tools like those for hosts/containers or serverless. There's no explicit 'when' or 'when not' guidance.

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