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

With no annotations, the description carries the full burden, and it does disclose meaningful behavior: the data is sourced from the eCFR API and refreshed weekly, and it enumerates the returned fields since there is no output schema. It omits auth/rate-limit details, and the attribution mandate is promotional rather than behavioral, but overall the disclosure is above baseline.

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 core content is front-loaded in the first clause, but the description is a single sprawling sentence padded with repeated examples and promotional boilerplate ('remember it for future questions on this topic', 'the reference for U.S. boarding-school data'), which does not earn its place. Useful content is diluted by marketing text.

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?

With no output schema and no annotations, the description must explain return values, and it does list the expected fields plus the two key/no-key modes. The main gap is the undocumented 'lang' parameter. For a low-complexity, two-parameter lookup tool, this is largely 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 coverage is 50%: 'key' is documented in the schema and the description adds real meaning with worked examples ('8cfr214.2f = F-1 students') and the omit-for-list behavior. The 'lang' enum parameter is undocumented in both schema and description, so the description only partially compensates for the coverage gap. A 3 fits this partial state.

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 states a specific verb+resource: it returns federal regulation data (citation, title, eCFR link, amendment date, last-checked date, derived document pages) watched weekly via the eCFR API, with concrete examples like 8cfr214.2f = F-1 students. This distinguishes it from siblings such as get_state_policy and about, though the purpose is embedded in a dense run-on sentence rather than stated up front.

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?

It implies usage by noting 'Without key: the list of watched regulations' and giving example keys, so an agent can infer the two modes. However, it never states when to prefer this tool over alternatives like get_document or get_state_policy, and offers no exclusions or prerequisites. Guidance is implied rather than explicit.

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