List audiences
list_audiencesList the UK cultural audiences Kulture can adapt campaigns for, with their IDs.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
list_audiencesList the UK cultural audiences Kulture can adapt campaigns for, with their IDs.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint, idempotentHint and openWorldHint=false, so the safety profile is covered. The description adds genuine domain scope (UK cultural audiences, a fixed catalog Kulture supports) and return content (IDs), but says nothing about catalog size, ordering, or whether the list is static.
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 sentence with no waste; the resource and the returned identifier are front-loaded.
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 zero-param listing tool this is nearly complete, but with no output schema the description should specify the full shape of each returned item (name plus ID, maybe description). It only mentions IDs, leaving the response shape partly unknown.
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 tool takes zero parameters, so there is no parameter semantics to explain; baseline is 4. The description correctly signals a no-filter listing operation.
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 verb (List) and resource (UK cultural audiences Kulture can adapt campaigns for), plus what is returned (IDs). This is clearly distinct from siblings like list_brands or list_projects, though it does not explicitly name them.
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?
Usage is only implied: the phrase 'with their IDs' hints that this is a lookup step to obtain audience identifiers for campaign adaptation, but the description never says when to call it or which sibling consumes those IDs (e.g. generate_adaptations).
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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