get_call

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full burden. It discloses the complete return payload and even describes the transcript structure, which is helpful. However, it does not mention edge cases like invalid call_id behavior or authentication requirements, though these are less critical for a read-only retrieval tool.

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 well-structured with a clear opening, a detailed list of returned data, a helpful example of transcript format, and final usage guidance. It is somewhat verbose but every section contributes value; the transcript example in particular justifies the length.

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 simple single-ID retrieval tool with an output schema, the description is comprehensive: it covers what to expect, how to use it, and common queries. It does not discuss errors or pagination, but these are not necessary given the tool's simplicity and existing output schema.

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?

Schema description coverage is 0%, so the description must compensate. It implies call_id identifies the voice session but never explicitly explains the parameter format or how to obtain it. The single required parameter is self-explanatory from its name and context, but the description adds minimal value beyond that.

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 'Get full details for a specific voice session including transcript' and lists the full set of returned data (transcript, summary, recording URL, etc.), making it obvious what the tool does. It distinguishes itself from siblings like list_calls by emphasizing the detailed, single-session focus and explicit use cases.

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?

Provides clear context with 'primary tool for post-call analysis' and explicit example queries like 'What happened on that call?' and 'Show me the transcript.' However, it does not explicitly mention when not to use it or name alternative tools (e.g., list_calls for a list of calls), so it lacks exclusionary guidance.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.