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

Annotations already declare readOnlyHint, idempotentHint, and openWorldHint=false, so the safety profile is covered. The description adds only that the answer covers requirements and up/down movement factors; it does not mention return format, length, or any limits.

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?

One sentence, zero filler, and the object of the explanation is front-loaded. Nothing here needs trimming.

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 simple read-only lookup with full annotation coverage and no output schema, the description usefully signals the content of the answer (requirements plus movement factors). Only the shape of the response or the meaning of the enum values remains unstated.

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?

There is a single enum parameter with 0% schema description coverage, and the description does not define what any grade value means. The enum values (A/B/C/D/NR) are largely self-explanatory, which keeps this at a minimum-viable 3 rather than lower.

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 verb (Explains) and resource (a grade on the Rein Agent Risk Scale), plus the scope of the explanation. It is clear what the tool produces, though it never contrasts itself with the siblings get_scale or self_check.

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?

Usage is only implied: an agent can infer you call this when you need the meaning of a specific grade. There is no explicit when-to-use statement and no routing against get_scale, which likely covers the scale as a whole, leaving overlap resolution to inference.

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