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

No annotations are provided, so the description carries the full burden, and it discloses meaningful traits: free, unauthenticated, and explicitly that no rates/counts/revenue figures are returned. It does not describe response format or length, but the key behavioral boundary (a docent that quotes no numbers) is clearly stated.

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?

Front-loaded with the core verb and resource, then efficiently adds scope, the no-numbers constraint, and access status. Every sentence earns its place with no redundancy.

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 zero-parameter narrative explainer with an output schema already present, the description covers purpose, scope, the critical 'no figures' caveat, and access requirements. Nothing needed to invoke it correctly is missing.

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?

The tool takes zero parameters, which is the baseline-4 case; the description correctly implies a no-input, purely narrative tool. There is no parameter detail to add.

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+resource ('Explain the DPYC Social Contract economic model — qualitatively') and immediately scopes the content to value flow, certification fees, and the Certification Chain cascade. The mention that rates/counts belong to the Authorities' pricing models implicitly distinguishes it from numeric siblings such as get_tax_rate.

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?

Gives clear context for when to use it: for a qualitative explanation, with an explicit exclusion that it will not supply rates or revenue figures and a pointer that live numbers live in the registry. It stops short of naming the specific sibling tools (e.g. get_tax_rate) an agent should call instead, so it is strong but not fully routable.

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