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

No annotations are provided, so the description carries the full behavioral burden, yet it never states that this is a read-only query, whether results are paginated, whether it returns all rules or only enabled ones, or what permission level the caller needs. The only value added is the semantic gloss on what an approval rule is.

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 short, front-loaded sentence with no waste. It is a noun fragment rather than a complete statement of behavior, which is the only structural weakness.

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 trivial one-parameter list tool with no output schema, the description covers the 'what' reasonably well, but with no annotations and no parameter documentation the agent still cannot tell read-vs-write, result shape, or scope rules.

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 0% for the single required shop_id parameter, so the description must compensate and does not. The possessive 'shop's' weakly implies shop scoping but never names or explains shop_id, its UUID format, or whether it must be the caller's own shop.

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?

It clearly identifies the resource (the shop's approval rules) and explains what those rules mean — 'which agent actions wait for the owner' — which is genuinely informative. However, there is no verb, so it never states whether it lists, gets, or summarizes rules, and it does not differentiate itself from the sibling tools approvals_list and approvals_get.

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 no when-to-use guidance, no prerequisites, and never names an alternative such as approvals_list or approvals_get. The agent must infer usage entirely from the tool name.

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