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

Annotations already declare readOnly, idempotent and non-destructive behavior, so the description can spend its length elsewhere and it does: it discloses that every field is an AI estimate (not ground truth) and enumerates the status values with their skip reasons (no_conversation, insufficient_transcript). It does not say what happens on a nonexistent call_id or whether results are cached or fresh.

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 sentences that are front-loaded with the core action, and the enumerated status values are compact rather than wasteful. The clause "read with the transcript's scope" is slightly opaque and taxes the reader a little.

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?

With no output schema, the description effectively documents the return shape: summary, follow-up flag, goal-met judgment, sentiment, and the full status enum with skip reasons. With annotations already covering the safety profile, an agent has everything needed to call it correctly.

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?

There is only one parameter, call_id, and schema coverage is 0%, so the description has to carry it. "Of a call" implies call_id identifies the call, but the description never states the expected format, where to obtain the ID, or what happens with an unknown ID.

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?

It gives a specific verb and resource ("Get the AI summary of a call") and enumerates the returned fields, so it is clearly distinct from get_call and get_call_transcript. It never names those siblings as alternatives, though, so the differentiation must be inferred from the field list rather than stated.

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?

Usage is only implied: an agent can infer it should call this when it wants a condensed AI assessment instead of a raw transcript. There is no explicit "use this when…" guidance, no exclusions, and no mention of what to call for the full transcript or recording.

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