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products_batch_update

Update multiple HubSpot products simultaneously by internal ID or custom identifier to modify properties like name, price, and SKU in bulk.

Instructions

Update a batch of products by internal ID, or unique values specified by the idProperty query param.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
inputsYes
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries full burden but lacks critical behavioral details. It states this is an update operation (implying mutation) but doesn't disclose permissions required, whether changes are reversible, error handling for partial failures in batch updates, rate limits, or what the response looks like. For a batch mutation tool, this is a significant gap in transparency.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence with zero wasted words. It's front-loaded with the core action and immediately specifies the identification methods. Every word earns its place, making it easy to parse quickly.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the complexity (batch update operation with nested objects), lack of annotations, 0% schema description coverage, and no output schema, the description is incomplete. It doesn't address behavioral aspects, parameter details, error handling, or response format, leaving significant gaps for the agent to operate this tool effectively.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate but adds minimal parameter semantics. It mentions 'idProperty query param' (which isn't in the schema's top-level properties) and implies batch processing via 'inputs' array, but doesn't explain the structure of 'inputs' objects, required fields like 'id' and 'properties', or what properties can be updated. The description fails to adequately clarify the complex nested parameter structure.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb ('update') and resource ('batch of products'), and specifies identification methods ('by internal ID, or unique values specified by the `idProperty` query param'). However, it doesn't explicitly differentiate from sibling tools like 'products_update' (single update) or 'products_batch_create' (batch creation), which would be needed for a perfect score.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

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 alternatives like 'products_update' for single updates or 'products_batch_create' for batch creation. The description mentions the identification method but doesn't explain use cases or prerequisites, leaving the agent to infer usage from 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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