MCP Datadog Server

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries full burden. It mentions the 1000-item limit, which is useful behavioral context, but doesn't disclose other traits like read-only status, authentication needs, rate limits, error conditions, or response format. For a tool with zero annotation coverage, this leaves 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 a single, efficient sentence that front-loads the essential information. Every word earns its place: 'fetches' (action), 'most recent 1000' (scope/limit), 'AWS on demand tasks' (resource). There's no redundancy or unnecessary elaboration.

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 simplicity (0 parameters, no output schema, no annotations), the description is adequate but has clear gaps. It covers the basic purpose and scope but lacks behavioral details like response format, error handling, or authentication requirements. For a read operation with no structured metadata, more context would be helpful for reliable agent 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?

With 0 parameters and 100% schema description coverage, the baseline is 4. The description appropriately doesn't discuss parameters since none exist, and it adds value by specifying the scope ('most recent 1000') which isn't in the schema. No parameter information is missing or needed.

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 action ('fetches') and resource ('AWS on demand tasks'), with specificity about the scope ('most recent 1000'). It distinguishes from siblings like 'get_agentless_scanning_accounts_aws' by focusing on tasks rather than accounts. However, it doesn't explicitly contrast with 'create_agentless_scanning_ondemand_aws' for full differentiation.

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?

No guidance on when to use this tool versus alternatives is provided. The description doesn't mention prerequisites, timing considerations, or when other tools like 'create_agentless_scanning_ondemand_aws' might be more appropriate. Usage context is implied but not explicitly stated.

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