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

Annotations already disclose that this is a non-read-only, open-world, non-destructive operation. The description adds that answers are merged into intake and remaining questions are returned, but it omits side-effect details such as idempotency, authorization needs, or what open-world behavior means here.

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 efficient sentences with the operation front-loaded and no filler. It could be slightly more structured by separating the workflow precondition from the core behavior, but it is not bloated.

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 tool with nested parameters, no output schema, and open-world mutation annotations, the description is too sparse. It never explains the answers payload or the return format of 'remaining questions', leaving the agent to infer important calling details from the schema alone.

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 0%, so the description must compensate. It only explains where to get the required intake object and says nothing about the optional answers object or its fields (volume, signOff, systems, frequency), nor about the expected shape of intake.

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 states a specific operation: merge answers into the intake object and return remaining questions. It also references the start_proposal workflow, but the tool name 'ask_clarifying_questions' suggests question generation, which the description does not reconcile.

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?

It gives one useful precondition: pass the intake object from start_proposal. However, it does not explicitly state when to use this tool versus siblings like get_answer or list_answer_pages, nor does it describe when not to use it.

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