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

Annotations already state readOnlyHint=false, destructiveHint=false, and openWorldHint=true, so safety is partly covered. The description adds useful behavior by saying it is stateless and by naming the clarifying-question topics returned, but it does not explain side effects, whether provided fields suppress questions, or how the interaction proceeds.

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?

Three short, front-loaded sentences with no filler. The purpose, return value, and stateless behavior are each stated efficiently.

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 an 8-parameter intake tool with no output schema, the description is too thin. It explains the return in general terms and one behavioral trait, but it omits most parameter semantics and gives no guidance on interaction with sibling proposal tools.

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 carry parameter meaning. It mentions task_description and four optional topic fields (volume, systems, frequency, sign-off), but leaves language, hourly_rate_sek, and consultant_hours_per_month completely undocumented, which is a significant gap for an 8-parameter tool.

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 action (begin interactive proposal intake) from a task description and describes the return value (clarifying questions). The purpose is clear, but it does not distinguish itself from the sibling ask_clarifying_questions, which sounds closely related.

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?

'Begin' implies this is the first step in a proposal workflow, giving some usage context. However, it never says when to use this versus ask_clarifying_questions, adjust_proposal, or estimate_automation, and gives no explicit exclusions.

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