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products_batch_update

Update multiple HubSpot products simultaneously by internal ID or custom identifier, modifying properties like name, description, price, SKU, and billing period in a single operation.

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?

No annotations are provided, so the description carries full burden. It states this is an update operation, implying mutation, but lacks critical behavioral details: it doesn't specify if this requires special permissions, what happens on partial failures, whether updates are atomic, rate limits, or response format. The mention of 'idProperty' adds some context but is insufficient for a mutation tool with zero annotation coverage.

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 front-loads the core action ('Update a batch of products'). It avoids redundancy but could be more structured by separating key points like identification methods. No wasted words, though it risks under-specification.

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 tool's complexity (batch mutation with nested parameters), lack of annotations, and no output schema, the description is incomplete. It doesn't cover error handling, performance implications, or example usage, leaving significant gaps for an AI agent to invoke it correctly in a production context.

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 'idProperty query param', which loosely relates to the 'id' and 'idProperty' fields in the nested schema, but doesn't explain the 'inputs' array structure, required 'properties' object, or other fields like 'objectWriteTraceId'. With 1 top-level parameter but complex nested objects, the description adds minimal value beyond the schema.

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'), specifying it operates on multiple products. It distinguishes from single-update tools like 'products_update' by mentioning 'batch', but doesn't explicitly differentiate from other batch operations like 'products_batch_create' or 'products_batch_archive' beyond the update action.

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 minimal guidance on when to use this tool, mentioning it updates by 'internal ID, or unique values specified by the `idProperty` query param' but offers no explicit when/when-not instructions or alternatives. It doesn't clarify prerequisites like authentication needs or when to choose batch update over individual updates.

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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