get_audience_segments

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

No annotations are provided, so the description carries full burden. It claims 'Live' discovery but also states it is an 'introspection stub' locally, creating confusion about actual behavior. It does not disclose whether data is real or mocked, nor any authentication or rate limits.

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 short and front-loaded with the purpose. However, the second sentence about 'introspection stub' is ambiguous and could be more clearly worded. Overall, it is concise but sacrifices clarity.

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 no output schema and a complex input (7 parameters including nested object), the description is too brief. It fails to explain return values, pagination, or the practical effect of the 'introspection stub' label. The tool likely requires more context for effective 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?

Schema coverage is 100%, with all 7 parameters having descriptions. The tool description adds no additional meaning or context to parameters; it merely states the tool exists. Baseline of 3 is appropriate as the description does not enhance parameter understanding.

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 states it is for 'Live Amazon Ads audience segment discovery' and indicates it is a read operation via '[Ads / direct API read]'. However, it does not differentiate itself from other get_* tools like 'get_dsp_advertisers_live' or 'get_sponsored_ads_entities_live', and the mention of 'introspection stub' may confuse the agent about its actual functionality.

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 explicit guidance on when to use this tool versus alternatives. It mentions 'Hosted endpoint only' and 'local stdio server is an introspection stub', which hints at limitations but does not offer clear usage context or exclusions.

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