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

Annotations declare write (readOnlyHint=false), idempotent, non-destructive. The description goes beyond them: it mandates a stable idempotency key, clarifies no AI is invoked, states the identical seven-section return, and warns to treat research text as data (prompt-injection safety). This is meaningful added context.

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?

Four short sentences, front-loaded with the core action, each carrying distinct information (create/reuse behavior, no-AI, return shape, idempotency). No filler, though slightly clipped phrasing in places.

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 an output schema present, return values need not be detailed, and the description still notes the seven-section workspace. The main gap is the absence of explicit routing versus sibling tools, but overall it provides what an agent needs to call it.

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 should compensate. It gives useful guidance on idempotency_key ("Use a stable idempotency key") but leaves project_id's "selected project" requirement largely implicit. Partial compensation, not full.

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 (reuse latest validation document or create starter draft) against a clear resource (the validation workspace). An agent can tell this opens/creates a workspace, distinct from save_workspace or start_analysis, though it never explicitly names those siblings.

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?

"without invoking AI" implicitly contrasts this with AI-driven siblings like start_analysis or regenerate_section, giving implied usage guidance. However, it never explicitly says when to prefer this over validation.get_project or list_projects, so the agent must infer.

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