update_data_product
Update an existing data product by specifying its ID and the new data fields to modify.
Instructions
Update an existing data product
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| data_product_id | Yes | ||
| data_product_data | Yes |
Update an existing data product by specifying its ID and the new data fields to modify.
Update an existing data product
| Name | Required | Description | Default |
|---|---|---|---|
| data_product_id | Yes | ||
| data_product_data | Yes |
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 states 'update' implying mutation, but does not disclose whether it is idempotent, what happens if the product doesn't exist, whether it merges or replaces data, or any permission requirements. The nested object data_product_data is not explained.
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 single sentence is concise and front-loaded, but it is too sparse. It earns its place briefly, but does not provide enough information for the agent, thus barely adequate.
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 the complexity (nested object, no output schema, no annotations), the description is severely incomplete. It fails to explain update behavior, required fields in data_product_data, or return value, leaving significant gaps for effective tool selection and invocation.
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%, and the description does not add any meaning beyond the parameter names. The data_product_data object lacks structure explanation; the agent cannot determine which fields are updatable or the expected format.
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 the verb 'update' and the resource 'data product', distinguishing it from create and delete siblings. However, it lacks specificity on what aspects can be updated (e.g., metadata, properties), which prevents a score of 5.
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?
The description provides no guidance on when to use this tool versus alternatives like create_data_product or get_data_product. No prerequisites, side effects, or conditions for use are mentioned.
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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