emails_batch_read
Retrieve multiple email records simultaneously from HubSpot CRM to reduce API calls and streamline data access.
Instructions
Read multiple email records in a single request
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| inputs | Yes |
Retrieve multiple email records simultaneously from HubSpot CRM to reduce API calls and streamline data access.
Read multiple email records in a single request
| Name | Required | Description | Default |
|---|---|---|---|
| inputs | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries full burden but only states it's a read operation. It doesn't disclose behavioral traits like rate limits, authentication requirements, error handling for partial failures, pagination, or response format. The description is minimal and lacks critical operational context.
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, efficient sentence with zero wasted words. It's front-loaded with the core purpose ('Read multiple email records') and adds a key constraint ('in a single request') without unnecessary elaboration.
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 (batch operation with nested parameters), 0% schema coverage, no annotations, and no output schema, the description is inadequate. It doesn't cover parameter meanings, behavioral expectations, or output structure, leaving significant gaps for an AI agent to use the tool correctly.
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%, so the description must compensate but adds no parameter information. It doesn't explain the 'inputs' array structure, the 'id' field, 'properties' array, or 'associations' enum. The schema details (like required fields and enum values) are undocumented in the description, leaving parameters largely unexplained.
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 'Read multiple email records in a single request' clearly states the verb ('Read') and resource ('multiple email records'), distinguishing it from single-read tools like emails_get. However, it doesn't explicitly differentiate from other batch read tools (e.g., notes_batch_read, products_batch_read) beyond the email resource focus.
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 emails_get (for single emails) or emails_list (for listing/filtering). It mentions 'multiple email records' but doesn't specify thresholds or use cases where batch reading is preferred over individual calls.
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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