KHOTEM - cryptographic witness: Cryptographic witness for AI agents: seal, attest, verify, timestamp. x402 USDC on Base. Free trial seal, loyalty ladder -20%/-30% for repeat payers.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations exist, so the description carries the full burden of behavioral disclosure. It hints at payment and usage-limit behavior ('x402 USDC on Base', 'Free trial seal', 'loyalty ladder -20%/-30%') but never states what invoking the tool does, whether it has side effects, what prerequisites exist, or what the response contains.
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?
Three concise sentences and the functional content is front-loaded. However, part of the budget is spent on branding ('KHOTEM') and promotional pricing details (loyalty ladder discounts) that don't meaningfully help an agent decide to invoke the tool.
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 monetized cryptographic service with no annotations, no output schema, and no parameters, the description leaves critical gaps: what happens on invocation, what the return value is, whether payment is required upfront, and how a zero-parameter call produces a seal or attestation. The free-trial/pricing hints raise more questions than they answer.
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, so the baseline of 4 applies; there are no schema fields the description would need to document. The description adds capability vocabulary (seal, attest, verify, timestamp) even though it doesn't explain how those operations are performed without any inputs.
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 concrete operations (seal, attest, verify, timestamp) and identifies the domain (cryptographic witness for AI agents), which is a specific verb+resource rather than a tautology. However, it doesn't differentiate from crypto-adjacent siblings like x402-verify or x402-eth-sign, and the payment/loyalty details are mixed into the purpose statement.
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?
No guidance is given on when to use this tool versus alternatives. Among hundreds of x402 siblings including other cryptographic tools (x402-eth-sign, x402-verify, x402-encrypt-aes256gcm), an agent receives no criteria for selecting this one.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
The tool set is saturated with near-duplicates and synonyms: character-count vs char-count, clamp vs clamp-value, is-abundant vs is-abundant-num vs is-abundant-number, and fetch vs browser-scrape vs web-scrape vs text-scrape. Generic names like 'difference', 'normalize', 'range', and 'partition' make the boundaries even harder for an agent to determine.
Most tools share a x402- kebab-case prefix, but the set mixes noun-only names (math, hash, prime, time), verb-first names (get_stats, find, validate), auto-generated names (x402-publish-1787853294312-base-account), and inconsistent variants like temp vs temperature vs temperature-convert. This is not a coherent verb_noun convention despite the common prefix.
1677 tools is an extreme count that creates selection paralysis and makes coherent agent use impractical. A utility or marketplace server at this scale needs sub-services or namespacing rather than a flat tool list.
The surface has broad token coverage across many utility categories, but the marketplace aspect is incomplete: service_discovery and get_stats exist, yet there are no generic publish, update, delete, or account-management operations. Utility families also contain redundant variants without clear completion or lifecycle structure.