list_traces

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

No annotations are provided, so the description carries the full behavioral burden, yet it discloses nothing beyond 'get'. It doesn't state that this is a read-only operation, mention the default limit of 100 results, pagination behavior, query cost/rate limits, or what happens with a malformed query.

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?

A single short sentence with no wasted words, but it is under-specified rather than genuinely concise. There is no structure or front-loaded guidance because there is almost no content.

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?

With 7 parameters, 3 required, no annotations and no output schema, the description needs to do real work — especially explaining the Datadog query string, time-range semantics, and result limits. It covers none of this.

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?

Schema description coverage is 100%, so the baseline of 3 applies. However, the description adds nothing about the 'query' string syntax or how 'service'/'operation' interact with 'query', which would be the highest-value addition for this tool.

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?

States a specific resource (APM traces) and source (Datadog), which is enough to distinguish it from siblings like query_metrics and get_logs. The verb 'Get' is generic and doesn't convey the query/list nature, but the resource noun carries the 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 indication of when to use this tool versus query_metrics, get_logs, or the RUM tools. It doesn't mention prerequisites, whether a Datadog APM account/query syntax is needed, or what a typical use case looks like.

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