Get Aircall call topics

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is clear. The description adds one useful behavioral constraint—the requirement for an Aircall AI feature—but does not elaborate on behaviors like error responses when the feature is unavailable or the format of returned topics.

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 sentences, with the primary purpose stated first and the prerequisite following. Every word earns its place; there is no redundancy or filler.

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 read-only tool with one parameter and strong annotations, the description is largely complete. It covers the main purpose and a key prerequisite, though it could optionally mention whether the tool returns an empty result when no topics are detected, but this is not a significant gap.

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 input schema has 100% coverage with a clear description for call_id ('Unique Aircall call ID'). The description adds no parameter-specific information, but since the schema fully documents it, the baseline score of 3 applies.

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 identifies the verb 'Get' and the resource 'AI-detected topics for one Aircall call', making its purpose specific. It does not explicitly contrast with sibling tools like aircall_get_summary or aircall_get_sentiments, but the unique resource ('topics') is enough to distinguish it.

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 a prerequisite ('Requires the applicable Aircall AI feature') but gives no guidance on when to use this tool versus alternatives like aircall_get_transcription or aircall_get_action_items. It fails to state when this tool is preferred or when it should be avoided.

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