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

Annotations already declare readOnlyHint=true, so the safe-read profile is covered. The description usefully adds that the content is AI-generated (implying it may be absent for calls without the AI Voice feature) and cites the underlying REST endpoint. It does not disclose failure behavior, auth/scope needs, or rate limits.

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?

Two short sentences, front-loaded with the purpose and followed by the source feature and endpoint. Nothing is padded and every clause carries information.

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 tool is simple (one required integer param, read-only, no output schema), and the description conveys what is returned at a high level ('AI-generated summary'). Since no output schema exists, a sentence on the response shape (plain text vs. structured summary object) would make it fully self-contained, but little is genuinely missing.

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 100% and the single 'id' parameter is documented there ('The call id.'). The description adds no format, range, or sourcing detail beyond the schema, so the baseline of 3 for fully-covered parameters 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?

States a specific verb and resource — 'Get the AI-generated summary of a call' — and the qualifying phrase 'AI-generated summary' cleanly separates it from siblings like aircall_get_call_transcription, aircall_get_call_sentiments and aircall_get_call_topics. An agent can identify the distinct artifact without opening the schema.

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?

There is no explicit when-to-use, when-not-to-use, or named alternative (e.g. use get_call_transcription for the raw transcript instead). The parenthetical '(Aircall AI Voice feature)' hints at a precondition but does not state whether the feature must be enabled or what happens when it is not.

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