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emails_batch_read

Retrieve multiple email records in one request to efficiently manage and analyze email data within HubSpot MCP. Streamline CRM workflows by accessing email details, properties, and associated contacts or deals.

Instructions

Read multiple email records in a single request

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 the full burden of behavioral disclosure. While 'Read' implies a non-destructive operation, it doesn't address important behavioral aspects: whether this requires specific permissions, how errors are handled when some IDs fail, what the response format looks like, or any rate limiting implications of batch operations. The description is too minimal for a batch operation tool.

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 extremely concise - a single sentence with zero wasted words. It's front-loaded with the core functionality and uses efficient language. Every word earns its place in communicating the basic purpose.

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 read tool with complex nested parameters (array of objects with id, properties, and associations), no annotations, and no output schema, the description is severely incomplete. It doesn't explain parameter requirements, return format, error handling, or operational constraints. The minimal description is inadequate for the tool's complexity.

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?

With 0% schema description coverage and 1 parameter (which is a complex array of objects), the description provides no information about the 'inputs' parameter structure. It doesn't explain what 'id' represents, what 'properties' array should contain, or what 'associations' enum values mean. The description fails to compensate for the complete lack of schema documentation.

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 ('Read') and resource ('multiple email records') with the operational context ('in a single request'). It distinguishes from individual read operations like 'emails_get' by specifying batch capability. However, it doesn't explicitly differentiate from other batch read tools like 'notes_batch_read' or 'products_batch_read' that follow the same pattern.

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. It doesn't mention when batch reading is preferable to individual reads (emails_get) or list operations (emails_list), nor does it specify prerequisites like authentication requirements or rate limiting considerations for batch operations.

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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