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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states 'Live' indicating real-time data and mentions the specific POST endpoint for agents, which is behavioral. However, it does not disclose side effects, auth requirements, or the response structure. The lack of any safety/read-only hint means the agent must rely on the tool name to infer a read operation.

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 sentence that front-loads the core purpose ('Live AuthiChain prices') and then enumerates the covered items. It is succinct but slightly dense due to the semicolon and the division between humans and agents. Every phrase adds value, though the structure could be clearer with two sentences.

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?

Given the tool has no parameters and no output schema, the description adequately specifies what kind of pricing data is returned and distinguishes the two audiences. However, it does not describe the response format (e.g., JSON structure, units, currency) or any errors, which might be useful but not critical for a simple price-lookup tool.

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 has zero parameters and the schema is empty with 100% coverage. Per rubric, a baseline of 4 applies when there are no parameters. The description adds no parameter-specific meaning because there are none to document, so the baseline is appropriate.

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 returns live prices for specific AuthiChain products (Passport, Farm, EU DPP Payment Links for humans; unpaid POST /api/x402 for agents). It names the exact items, making its purpose distinct from siblings like dpp_readiness_check, query_provenance, and verify, which are not pricing-related.

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 implies usage – it is for retrieving pricing data – but provides no explicit guidance on when to choose it over sibling tools or any exclusions. The distinction between 'for humans' and 'for agents' offers some context, but there is no explicit 'use when' or 'use instead' phrasing. The agent must infer that this is the pricing lookup tool.

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