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

The description goes well beyond annotations by explaining that the call does NOT execute anything, records a proposal, returns a staged_action_id, and acts as a no-op passthrough for read-only tools. However, the bizarre 'Tier: sp500+ (sample rejected — guest has no saved state)' line is confusing and detracts from otherwise strong transparency.

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 first sentence is a strong front-loaded definition, and the tier explanation is useful. However, the trailing 'Tier: sp500+ (sample rejected — guest has no saved state)' is an obvious artifact that adds noise and should be removed, making the description longer and less focused than it should be.

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?

Given that an output schema exists, the description covers the essential contingencies: when to stage vs. pass through, that no execution occurs, and that a human later approves/rejects via separate tools. It could name the actual approval tools (which are siblings) or mention persistence/permissions, but the description is reasonably complete for a tool with this complexity.

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?

The input schema already provides 100% coverage with descriptions for all three parameters (origin, tool_args, tool_name). The description adds little parameter-level meaning beyond reiterating that tool_args will be replayed on approval, so the baseline of 3 is appropriate.

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 clear verb+resource statement: 'Propose an MCP tool call for human approval BEFORE running it.' It also distinguishes itself from direct tool invocation and from sibling tools like approve_staged_action/reject_staged_action by stating it only records the proposal and does not execute anything.

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 text explicitly says when to use it: 'Call this — instead of calling the tool directly — whenever an autonomous or unattended caller... is about to perform a write it knows or suspects is risky.' It also covers the green/read-only case where staging is a no-op passthrough, and it names the follow-up approval/rejection tools.

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