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

With no annotations, the description carries the transparency burden and mostly succeeds. It enumerates the specific inputs it checks and the exact verdict values (proceed, warn, require_approval, block). It stops short of stating side effects or authentication needs, but the 'verification gate' framing implies a non-mutating read-only operation.

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 tightly structured sentences: definition, behavior/output, and usage guidance. Every sentence earns its place, and the most important purpose is front-loaded. No filler or repetition.

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 description covers the tool's function and usage well, and the output schema can explain return values. However, with 8 parameters and no annotations, it lacks key input construction context—especially what tool_name and action_description should contain. This is a noticeable gap for a complex tool, leaving the description adequate but not complete.

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%, and the description provides no parameter-level guidance. With 8 parameters including required tool_name and action_description, the agent receives no help understanding what these values represent or how to construct a valid call. The description does not compensate for the schema's bare parameter list.

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 specific verb and resource: 'Pre-action and pre-conclusion verification gate.' It clearly defines what the tool does—checks policy, constraints, alerts, knowledge pressure, and memory freshness—and returns a combined verdict. This distinguishes it from sibling tools by naming the exact scope and output.

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?

Explicitly states when to use: 'Use before committing to an answer when the stakes are high or when your evidence is thin.' It also names an alternative (query_memory) and explains why this tool is preferable ('catches constraint conflicts and stale-context risks that query_memory alone won't surface').

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