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

With no annotations, the description carries the full burden and does unusually well: it discloses the trust model and the out-of-band verification path (hash the PDF, read totalSupply on-chain, compare). It is implicitly a read-only report, but permissions, caching/freshness, and rate-limit behavior are not 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 resource and then a field-by-field inventory that doubles as return-value documentation, so the density is largely earned. The bilingual duplication adds length without adding information, which keeps it out of the top band.

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 parameters, the description fully compensates by enumerating the returned fields and explaining how to verify them independently. An agent asking 'is KGLD backed' has everything needed to call and interpret this 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 takes zero parameters, so per the rubric the baseline is 4; there is nothing for the description to disambiguate and the schema is trivially complete.

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 resource with qualifiers: 'Independent auditor's proof-of-reserve report for KGLD', and enumerates the exact payload (PDF URL, SHA-256, as-of date, custody in troy oz, auditor name, contract addresses). It clearly differs in substance from get_reserve/request_verification, though it never names those siblings explicitly, so an agent must infer the boundary.

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?

Provides a concrete entry-point rule: 'Start here for any is KGLD really backed question,' which tells the agent when to reach for this tool first. It offers no explicit exclusions or named alternatives, so the when-not side is left to inference.

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