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products_batch_update

Update multiple HubSpot products simultaneously using internal IDs or custom identifiers to modify properties like name, description, price, and SKU.

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 for behavioral disclosure. It states this is an update operation (implying mutation) but doesn't mention permission requirements, whether updates are reversible, rate limits, error handling for partial failures, or what the response contains. For a batch mutation tool, this leaves critical behavioral aspects undocumented.

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

Conciseness4/5

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

The description is a single, efficient sentence that gets straight to the point without unnecessary words. It's appropriately sized for a batch update operation, though it could be slightly more structured by separating key concepts.

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?

For a batch mutation tool with no annotations, 0% schema description coverage, and no output schema, the description is incomplete. It lacks details on behavioral traits (e.g., permissions, side effects), comprehensive parameter explanations, and output expectations, making it inadequate for safe and effective use by an AI agent.

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. It mentions 'internal ID' and the 'idProperty' query param, which helps clarify the 'id' and 'idProperty' fields in the schema. However, it doesn't explain the 'objectWriteTraceId' parameter or the nested 'properties' object containing fields like 'name', 'price', etc., leaving most parameters without semantic context.

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 action ('Update a batch of products') and identifies the target resource ('products'), which provides a specific verb+resource combination. However, it doesn't explicitly differentiate this tool from sibling tools like 'products_update' (single update) or 'products_batch_create' (batch creation), missing full sibling distinction.

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?

The description provides no guidance on when to use this tool versus alternatives like 'products_update' for single updates or 'products_batch_create' for batch creation. It mentions the 'idProperty' parameter but doesn't explain when batch updating is preferred over individual updates or what prerequisites might exist.

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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