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

Annotations only give readOnlyHint=false/openWorldHint=true/destructiveHint=false; the description adds three traits beyond that: the call is proposal-only and does not mutate project data, it may take several minutes, and it emits progress notifications with elapsed time when supported. The latency and non-mutation disclosure are exactly what an agent needs before scheduling a long, side-effect-free generation call.

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 sentences, each load-bearing: action and output shape first, workflow second, operational caveat last. No filler and no repetition of schema or annotation content.

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?

An output schema exists, so return values need not be explained, and the description covers the essential arc (propose → review → persist). The only gap is that 'the existing CRUD tools' is left unnamed, leaving the agent to guess whether follow-up goes through suggestions_accept or stories_create.

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 coverage is already 75% (project_id, n_stories_to_generate, user_message all carry descriptions), so the schema is doing the heavy lifting. The description adds only a rationale for rejected_stories ('optionally supply previously rejected suggestions') and says nothing about user_message or the generation count, so it modestly exceeds but does not clear the baseline.

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 opens with a concrete verb+resource ('Suggest missing features and clarifying stakeholder questions') and immediately clarifies the output shape ('Returns a proposal without applying the suggested changes'). It does not name or contrast against the closest siblings (projects_make_stories_from_description, projects_align_requirements_to_stories, suggestions_list), so an agent still has to reason about which generation tool to pick.

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 a clear human-in-the-loop workflow: review the proposal with the user, then persist accepted changes via existing CRUD tools. That is real usage context (no auto-apply), but there are no explicit when-not conditions or named alternatives for overlapping generation/alignment tools.

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