MCP Datadog Server

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

With no annotations provided, the description carries full burden for behavioral disclosure. 'Post event' implies a write/mutation operation but reveals nothing about authentication requirements, rate limits, side effects, error conditions, or what constitutes a successful post. This is critically inadequate for a tool that presumably creates data in a system.

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?

While technically concise with just two words, this is a case of harmful under-specification rather than effective brevity. The description fails to provide necessary information about what the tool does, making it inefficient for an AI agent. Every word should earn its place, but here the words don't earn enough meaning.

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?

For a tool with no annotations, no output schema, and a description that provides only two words of minimal information, this is completely inadequate. The agent cannot understand what 'posting an event' entails, what system it interacts with, what the expected behavior is, or how to use it correctly. This fails to provide the necessary context for safe and effective tool invocation.

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 there are no parameters to document. The description doesn't need to compensate for any parameter gaps. A baseline of 4 is appropriate since there's no parameter burden, though the description doesn't add any parameter-related context (which isn't needed here).

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 'Post event' is a tautology that essentially restates the tool name 'events_post'. It provides no additional specificity about what type of events, to what system, or with what payload. While 'post' implies a creation/write operation, this is minimal information that doesn't distinguish it from potential sibling tools.

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 absolutely no guidance on when to use this tool versus alternatives. There are many sibling tools (like create_events, events_list, search_events) that appear related to events, but the description offers no differentiation. No context, prerequisites, or exclusions are mentioned.

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