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

No annotations are provided, so the description carries the burden. It discloses that the tool is read-only ('Documentation reading') and that it provides context via the Router Compliance Index totals. However, it doesn't describe what the output looks like, whether it can fail (e.g., unknown slug), or any rate limits. The 'not legal advice' caveat is useful but doesn't fully compensate for missing behavioral details.

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, information-dense sentence that front-loads the core purpose and regulatory context. It includes the essential usage instruction (get slug from get_router_defaults) and a caveat. It's slightly long but every clause adds meaning; no filler.

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 single-parameter lookup tool with no output schema, the description covers the input source and the regulatory context. However, it doesn't describe the return value shape or possible error conditions (e.g., invalid slug). The sibling get_router_defaults is referenced, which helps, but the agent still lacks a full picture of what to expect.

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% and the only parameter (slug) is described as 'ssid.ai router slug'. The description adds the crucial detail that the slug comes from get_router_defaults, which is valuable. However, it doesn't add format details (e.g., URL-safe, case sensitivity) beyond what the schema provides. Baseline 3 is appropriate since the schema already documents the parameter.

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 tool's purpose: checking whether a router model ships a universal default password, and ties it to specific regulations (UK PSTI, EU CRA). It names the resource (router model via ssid.ai slug) and the specific question being answered. It also distinguishes itself from siblings by referencing get_router_defaults as the source for the slug.

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 explicitly tells the agent to pass the ssid.ai slug obtained from get_router_defaults, which is a clear usage instruction. It also notes the tool is documentation reading, not legal advice, which sets expectations. However, it doesn't explicitly state when NOT to use this tool or name alternatives beyond the slug source.

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