get_topics
List all listening topics in your Sprout Social account to monitor brand mentions and conversations.
Instructions
List all listening topics in your Sprout Social account.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
List all listening topics in your Sprout Social account to monitor brand mentions and conversations.
List all listening topics in your Sprout Social account.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description implies a read-only operation by using 'list', which is appropriate. However, with no annotations, it does not disclose potential limitations (e.g., no pagination details, no hint about what happens if no topics exist). The description is minimal but not misleading.
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, clear sentence that gets straight to the point. Every word serves a purpose, and it is appropriately 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?
Given no output schema, the description does not clarify what fields or format the returned topics will have (e.g., IDs, names). This information is useful for downstream tools, so the description is incomplete for an agent to fully understand the tool's output.
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 has zero parameters, and the schema coverage is 100%. Per guidelines, the baseline for 0 parameters is 4. The description adds minimal context by specifying 'in your Sprout Social account', but this is not about parameters.
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 clearly states 'List all listening topics' with a specific verb and resource. It distinguishes itself from sibling tools like get_listening_topic_messages and get_listening_topic_metrics, which operate on messages and metrics rather than the topics themselves.
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 its siblings. For instance, an agent should know to call this first to get topic IDs before using get_listening_topic_messages, but the description lacks such context.
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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