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

Annotations already cover the safety profile (readOnly=true, destructive=false), and the description adds genuinely new behavioral context: it consumes one AI help call from the plan (a quota cost), it grounds output only in the flow and its saved transcript, and it produces three artifacts rather than one. It does not say whether the recaps are persisted anywhere, which matters given idempotentHint=false.

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 tightly packed sentences: the action and its three deliverables come first, then the grounding source and cost. Every clause carries information the agent needs and nothing is repeated from the schema or annotations.

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 correctly takes on the burden of describing the return shape by naming and characterizing all three recaps, and it discloses the quota cost. The only gap is that it never states whether the generated recaps are stored or returned transiently, which matters for a non-idempotent generative tool.

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%, so both flow_id and use_transcript are already documented in the schema, including the default. The description references "its saved transcript" but adds no new semantics for the use_transcript flag beyond what the schema states, so the baseline 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?

States a specific verb ("Write") and resource (three recaps of one flow), and enumerates the three distinct outputs with their intended audience and length, which makes it distinguishable from generic siblings like summarize_flow. It stops short of naming any sibling explicitly, so differentiation is inferred rather than declared.

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 context is implied by "an email body to the customer after the call," which hints at a post-session workflow, but there is no explicit when-to-use, when-not-to-use, or routing to alternatives such as summarize_flow or suggest_followups. The agent must infer the trigger condition.

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