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emails_get

Retrieve specific email details from HubSpot CRM by providing the email ID, including properties and associated contacts, companies, deals, or tickets.

Instructions

Get details of a specific email

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
emailIdYes
propertiesNo
associationsNo
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 but only states what the tool does ('Get details'). It doesn't mention whether this is a read-only operation, if it requires specific permissions, what error conditions might occur, or how results are formatted, leaving significant gaps for an AI agent.

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, clear sentence with no wasted words. It's appropriately sized for a simple retrieval tool and front-loads the core functionality effectively.

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 tool with 3 parameters, 0% schema description coverage, no annotations, and no output schema, the description is inadequate. It doesn't explain parameter usage, return values, or behavioral aspects, leaving too much undefined for proper tool invocation.

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?

The schema description coverage is 0%, meaning none of the 3 parameters are documented in the schema. The description doesn't explain what 'emailId', 'properties', or 'associations' mean, their expected formats, or how they affect the output, failing to compensate for the schema's lack of 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 verb ('Get') and resource ('details of a specific email'), making the purpose understandable. However, it doesn't distinguish this tool from sibling tools like 'emails_list' or 'emails_search' that also retrieve email information, which prevents 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?

The description provides no guidance on when to use this tool versus alternatives like 'emails_list' for multiple emails or 'emails_search' for filtered searches. It lacks context about prerequisites or typical use cases, offering only basic functional information.

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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