Get Aircall call transcription

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

Annotations already establish read-only and idempotent behavior, and the description adds valuable context by explaining that utterances are paginated locally to keep responses bounded. This is useful behavioral information beyond what annotations provide.

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 two short sentences, front-loaded with the tool's purpose followed by a key behavioral note. It is appropriately sized with no wasted words.

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?

The description is minimally viable for a simple read-only tool, especially with good annotations. However, since there is no output schema, the lack of explicit return-format or response-structure information leaves a clear gap, and pagination mechanics are not fully explained.

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 low (17%), and the description does not explain parameters like mode, limit, format, offset, or include_timestamps. The only hint is the word 'paginated,' which vaguely relates to limit/offset but does not add meaningful semantic detail.

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 tool retrieves an AI-generated call transcription, using a specific verb and resource. It is distinct from sibling tools like aircall_get_summary or aircall_get_sentiments, as transcription is a unique output type.

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?

No guidance is provided for when to use this tool versus alternatives such as summary, sentiments, or action items. The description does not mention call_id requirements, use cases, or exclusions.

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