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calls_batch_read

Retrieve multiple call records in a single API request, accessing details like properties and associations with entities such as contacts, companies, deals, and tickets.

Instructions

Read multiple call 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 full burden for behavioral disclosure. It only states it's a read operation, which implies non-destructive behavior, but doesn't cover critical aspects like authentication requirements, rate limits, error handling for partial failures in batch requests, response format, or whether it returns all data or requires pagination. For a batch operation with complex inputs, this is insufficient.

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 uses clear, direct language. Every word earns its place in conveying the batch reading concept.

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 (0% schema coverage), no annotations, and no output schema, the description is incomplete. It doesn't address how results are returned, error handling, limitations on batch size, or relationship to other call tools. The agent lacks sufficient context to use this tool effectively without trial and error.

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 has 0% description coverage, with one complex parameter ('inputs' array containing objects with 'id', 'properties', and 'associations'). The description adds no information about parameter meanings, required fields beyond schema, or how to structure batch requests. It doesn't explain what 'properties' or 'associations' represent, or provide examples. With low schema coverage, the description fails to compensate.

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 'Read multiple call records in a single request' clearly states the verb ('Read') and resource ('multiple call records'), and specifies the batch operation aspect ('in a single request'). It distinguishes from individual read tools like 'calls_get' but doesn't explicitly differentiate from other batch operations like 'calls_batch_archive' or 'calls_batch_update' beyond the 'Read' verb.

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 'calls_get' calls, when to use 'calls_list' for broader queries, or any prerequisites or constraints for batch operations. The agent must infer usage from the tool name alone.

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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