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

With no annotations provided, the description carries the full burden of behavioral disclosure. It explicitly states this call is 'fire-and-forget — it is not shown to the end user, it only records feedback for maintainers to triage later.' This discloses the critical side-effect behavior (fire-and-forget, no user visibility) that an agent would otherwise not know. It could add a touch more on whether it succeeds silently or returns a confirmation, but the key behavioral traits are disclosed.

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 a single well-structured paragraph with zero wasted words. Every sentence earns its place: scope distinction, four trigger categories, actionable feedback guidance, and the fire-and-forget behavioral note. It front-loads the core purpose and follows with practical guidance.

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?

The tool has 6 parameters (100% schema coverage) and no output schema. The description effectively explains the tool's purpose, scope, use cases, and behavioral characteristics. It's a relatively simple feedback-recording tool, and the description is proportionally complete. It could mention that it doesn't return meaningful output/confirmation, but given the fire-and-forget nature already disclosed, the completeness is strong.

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 100%, so the schema documents all 6 parameters, giving a baseline of 3. However, the description adds semantic value beyond the schema: it explains that 'message' should include tool_name and expected-vs-actual framing, that 'reproduction' is specifically for bug reports ('if this is a bug report'), and that 'severity' is about task impact ('if applicable'). This enriches the meaning of the params beyond the raw schema definitions.

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 clearly states the verb ('Report feedback'), the specific resource (robot-actions MCP device-control tools THEMSELVES), and critically distinguishes scope from the app under test. It explicitly explains this is NOT about the user's app being tested, which prevents a common misinterpretation. This fully distinguishes it from any sibling tool.

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?

The description gives explicit guidance on WHEN to use it (tool confused you, missing capability, behaved like a bug, or worked well confirming something), providing four concrete trigger scenarios. It also states when NOT to use it ('not about the app under test') and describes the fire-and-forget nature. This is explicit context plus exclusions.

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