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. 'Edit' implies a mutation operation, but the description doesn't disclose behavioral traits such as required permissions, whether changes are reversible, rate limits, or what the response looks like. This is a significant gap for a mutation tool with zero annotation coverage.

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 with no wasted words. It's front-loaded with the core action ('Edit') and resource, making it easy to parse quickly. Every word earns its place by conveying essential information without redundancy.

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 complexity of a mutation tool with no annotations, no output schema, and 0 parameters, the description is incomplete. It lacks crucial details like what 'edit' entails (e.g., which fields can be modified), behavioral constraints, or expected outcomes, making it inadequate for safe and effective tool invocation by an AI agent.

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, so no parameters need documentation. The description doesn't add param info, but that's acceptable given the schema completeness. A baseline of 4 is appropriate as the schema fully handles the parameter semantics, 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 'Edit a Synthetic global variable' clearly states the verb ('Edit') and resource ('Synthetic global variable'), making the purpose understandable. However, it doesn't differentiate from sibling tools like 'create_synthetics_variables' or 'delete_synthetics_variable', which would require more specificity about what 'edit' entails versus 'create' or 'delete'.

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 is provided on when to use this tool versus alternatives. The description doesn't mention prerequisites (e.g., needing an existing variable to edit), exclusions, or comparisons to sibling tools like 'create_synthetics_variables' or 'delete_synthetics_variable', leaving the agent without context for tool selection.

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