tasks_batch_read
Read multiple HubSpot tasks simultaneously to retrieve details, properties, and associations in a single API call.
Instructions
Read multiple tasks in a single request
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| inputs | Yes |
Read multiple HubSpot tasks simultaneously to retrieve details, properties, and associations in a single API call.
Read multiple tasks 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 the full burden of behavioral disclosure. It only states what the tool does ('Read multiple tasks') without any information about permissions required, rate limits, whether it's idempotent, what happens with invalid IDs, or the format/scope of returned data. This leaves critical behavioral aspects completely undocumented.
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 extremely concise at just 6 words, front-loading the core functionality with zero wasted words. Every element ('Read multiple tasks in a single request') directly contributes to understanding the tool's purpose.
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?
For a batch read operation with 1 parameter (a complex array structure), 0% schema description coverage, no annotations, and no output schema, the description is severely inadequate. It doesn't explain the request format, response format, error conditions, or any behavioral characteristics needed for proper usage.
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?
The schema has 0% description coverage, so the description must compensate but fails to do so. It mentions 'multiple tasks' which hints at the array structure, but provides no explanation of what 'inputs' contains, what 'id' represents, what 'properties' and 'associations' mean, or how to format requests. The description adds minimal value beyond what's obvious from the tool name.
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 clearly states the action ('Read multiple tasks') and scope ('in a single request'), which is specific and distinguishes it from single-task read operations. However, it doesn't explicitly differentiate from other batch read tools for different resources (like calls_batch_read or emails_batch_read), though the tool name itself provides that context.
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 tasks_get (for single tasks) or tasks_list (for listing tasks with filters). There's no mention of prerequisites, performance considerations, or error handling 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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