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

With no annotations, the description carries the full burden. It usefully discloses cost and payment mechanism ('$0.003 per call, USDC on Base') and that it is dependency-free and deterministic ('stable'), which is real behavioral context. However, it omits error behavior, whether both 32 and 64-bit digests are always returned, and any authentication/payment prerequisites.

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?

One efficient, front-loaded sentence with no waste; the core purpose leads and the pricing detail trails. The parenthetical pricing is slightly extraneous to the operation itself but still earns its place as cost disclosure.

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 simple single-input hashing tool with no output schema, the description covers the essentials, but it leaves ambiguity about whether both bit-widths are returned and in what format. The payment model is mentioned but not explained as a prerequisite.

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 0%, so the description must compensate, but the single parameter 'text' is fairly self-evident. The description adds nothing about its format, encoding expectations, or size limits, leaving the schema to carry it.

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 names a specific verb and resource ('Compute a stable FNV-1a content fingerprint') plus the output variants (32 and 64 bit). No sibling tool performs hashing, so it is inherently distinguished, though it does not explicitly contrast itself with the other token utilities.

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?

There is no guidance on when to use this tool versus the many sibling utilities (e.g. tk_entropy, tk_detectFormat). The description states what it does but never addresses selection context or prerequisites beyond implying payment.

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