list_nuggets
Retrieve a list of all stored knowledge nuggets. Use the limit parameter to control the number returned.
Instructions
List all knowledge nuggets
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | Maximum number of nuggets to return |
Retrieve a list of all stored knowledge nuggets. Use the limit parameter to control the number returned.
List all knowledge nuggets
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | Maximum number of nuggets to return |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description should disclose behavior (e.g., pagination, ordering, metadata). It does not, so the agent lacks insight into side effects or data delivery.
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 concise sentence, but it is under-specified and could benefit from additional context without becoming verbose.
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 annotations or output schema, the description is too sparse to fully inform an agent about return values, behavior, or how nuggets are structured.
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 the limit parameter fully described. The description adds no extra meaning beyond the schema, meeting the baseline.
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 'List all knowledge nuggets' clearly states the action (list) and resource (nuggets), but does not differentiate from other list tools or specify scope beyond 'all'.
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 like get_nugget or other list tools. Missing context on filtering or selection criteria.
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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