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

Annotations already cover the safety profile (readOnlyHint=true, destructiveHint=false, openWorldHint=false). Beyond that, the description discloses two non-obvious traits: it consumes 'one AI help call from the plan' (a cost/rate constraint) and it reads the saved call transcript when one exists. It does not describe pagination or failure behavior, but those are less relevant for this tool.

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?

Front-loaded with the core action, then supporting detail, then output shape and cost in short sentences. The enumeration of gap types is slightly list-heavy but each item is informative rather than filler. No redundant restatement of the tool name or title.

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 carries the return-value burden and does so ('each question has the step it is about and a kind'). Inputs, behavior, output shape, and AI-call cost are all covered for a two-parameter read-only tool. It omits edge cases such as behavior when the flow has no gaps or no transcript.

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 the baseline is 3. The description adds meaning beyond the schema by explaining that the transcript is used 'when there is one' and by tying the transcript behavior to the use_transcript toggle, clarifying the graceful fallback. The flow_id parameter gets no added explanation, but it is fully documented in the schema.

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 pair ('find the gaps in a flow and write 3 to 6 follow-up questions') and enumerates the exact gap classes it detects (no owner, missing trigger/end, missing decision branches, guessed links, unclear I/O). That makes it concrete and distinguishable in practice from review_flow or summarize_flow. It never names a sibling explicitly, so it stops short of full sibling differentiation.

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 scenario is implied ('ask the customer', 'uses the saved call transcript of the flow when there is one') so an agent can infer the appropriate context. There is no explicit when-to-use statement, no when-not-to-use, and no routing to alternatives such as review_flow or ask_flow, which is the main gap.

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