list_popular_items
Retrieve a list of popular items from a Metabase instance to identify frequently accessed dashboards, cards, and collections.
Instructions
List popular items in Metabase
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Retrieve a list of popular items from a Metabase instance to identify frequently accessed dashboards, cards, and collections.
List popular items in Metabase
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries full burden. It only repeats the name without disclosing read-only nature, permission needs, or pagination behavior.
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?
One sentence, no waste, but too brief to be useful. Front-loads the purpose but lacks structure.
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?
No output schema, no annotations, and minimal description. The tool's behavior, response format, and filtering criteria are entirely unspecified.
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?
No parameters in schema (100% coverage). Baseline 3, description adds no extra meaning beyond the trivial empty schema.
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 a verb (list) and resource (popular items), but 'popular items' is vague and not differentiated from sibling list tools like list_recents or list_cards.
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 on when to use this tool versus alternatives. Context signals show many list tools, but description provides no exclusions or 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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