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

Beyond the annotations (readOnlyHint=false, openWorldHint=true, destructiveHint=false), the description discloses the downstream effect: a product feedback item created for human review, not a ticket. It also pre-empts behavior the schema cannot express, such as automatic ASIN aliasing in free text. It stops short of describing any response payload or rate/duplicate-submission behavior, which would be the remaining gap for a write 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?

It is a single front-loaded paragraph whose first sentence carries the action and the gate, and the enumeration of prohibited data is purposeful rather than filler. It loses a point because several prohibitions ('do not include conversation history, prior-turn arrays, or raw transcripts') restate constraints already present in the schema property descriptions.

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 16-parameter write tool with no output schema, the definition covers the critical operational contract: consent gating, redaction policy, ASIN handling, and the destination artifact. What is missing is minor but real – nothing about what a successful submission returns or how to handle duplicate/rejected submissions.

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 63%, so the schema carries much of the load and a 3 baseline is appropriate. The description adds real meaning for related_asins (aliasing behavior) and reinforces the confirmation gate tied to user_request/submission_acknowledgement, but says nothing about severity, client_context, agent_confidence, expected_behavior, observed_behavior, reproduction_notes, or privacy_notes.

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 names a specific verb and resource ('Submit a concise, redacted, task-specific product issue to agentcentral') and scopes it narrowly to product feedback for human review, explicitly excluding support tickets and model-training data. That cleanly separates it from all the read-oriented get_* 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?

It gives an explicit precondition ('only after the user explicitly asks to send feedback and confirms the packet') and a negative boundary ('not a support ticket and not model training data'). An agent knows both when to call this and when not to, plus which content must be routed elsewhere.

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