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tasks_batch_read

Retrieve multiple task details simultaneously using a single API request, streamlining task management in HubSpot MCP by efficiently fetching IDs, properties, and associations like contacts, companies, deals, and tickets.

Instructions

Read multiple tasks 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. It states it's a read operation, implying it's non-destructive, but doesn't address critical aspects like authentication requirements, rate limits, error handling, pagination, or response format. For a batch operation with zero annotation coverage, this leaves significant behavioral gaps.

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, efficient sentence with no wasted words. It's front-loaded with the core purpose and structured clearly, making it easy to parse quickly. Every word earns its place.

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 complexity of a batch operation with 1 parameter (including nested objects), 0% schema description coverage, no annotations, and no output schema, the description is inadequate. It doesn't explain parameter usage, behavioral constraints, or what the tool returns, leaving the agent with insufficient information to use it effectively.

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 description mentions no parameters, while the schema has 1 parameter ('inputs') with 0% description coverage. The schema reveals 'inputs' is an array of objects with 'id', 'properties', and 'associations', but the description adds zero semantic context about what these mean or how to use them. This fails to compensate for the schema's lack of descriptions.

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 multiple tasks') and scope ('in a single request'), which is a specific verb+resource combination. It distinguishes itself from single-task operations like 'tasks_get' but doesn't explicitly differentiate from other batch operations like 'tasks_batch_archive' or 'tasks_batch_update' beyond the 'read' 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 no guidance on when to use this tool versus alternatives. It doesn't mention when batch reading is preferred over individual 'tasks_get' calls, nor does it reference sibling tools like 'tasks_list' for broader queries or 'tasks_search' for filtered searches. Usage context is entirely absent.

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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