list_audiences
List custom audiences for the authenticated ad account.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| after | No | ||
| limit | No | ||
| order | No | desc | |
| before | No |
List custom audiences for the authenticated ad account.
| Name | Required | Description | Default |
|---|---|---|---|
| after | No | ||
| limit | No | ||
| order | No | desc | |
| before | No |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is clear. The description adds no further behavioral context (e.g., pagination behavior, account scoping specifics), but with strong annotations, a baseline score of 3 is appropriate.
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 sentence with no unnecessary words. It efficiently conveys the core purpose.
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?
Despite annotations covering safety, the description omits crucial operational details such as pagination (e.g., cursor-based or offset), default ordering, and the structure of the returned audience list. With no output schema, the agent has insufficient information to handle the response.
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 0%, meaning none of the 4 parameters (after, limit, order, before) are documented in the schema. The tool description does not explain any parameter meanings, leaving the agent without guidance on how to use them correctly.
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 specifies the verb 'list', the resource 'custom audiences', and the scope 'for the authenticated ad account'. It clearly distinguishes from sibling tools like get_audience (which retrieves a single audience) and others that operate on different resources.
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 like search_geo or get_audience. There is no mention of prerequisites, exclusions, or best-use scenarios.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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