x402-jwt-verify
JWT Verify: JWT Verify
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| jwt | No | Jwt to process | |
| input | No | Input to process | |
| token | No | Token to process | |
| secret | No | Secret to process |
JWT Verify: JWT Verify
| Name | Required | Description | Default |
|---|---|---|---|
| jwt | No | Jwt to process | |
| input | No | Input to process | |
| token | No | Token to process | |
| secret | No | Secret to process |
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, and it discloses nothing. It does not reveal whether the tool validates signature, checks expiration, what algorithm it supports, what happens on failure, or which input to supply. For an operation involving secrets and tokens, this absence of behavioral context is a critical gap.
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 entry is extremely short, but this reflects under-specification rather than disciplined conciseness. Repetition ('JWT Verify' twice) wastes the little space used, and no information is front-loaded because there is no information to begin with.
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?
This tool has 4 optional parameters, no annotations, and no output schema — the description must carry the full explanatory load and it carries none. An agent is left unable to determine required inputs, the meaning of the result, or error behavior. This is completely inadequate for correct tool selection and invocation.
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?
Although schema coverage is nominally 100%, the parameter descriptions are degenerate placeholders ('Jwt to process', 'Token to process', 'Input to process') that add no real meaning. The tool description does nothing to disambiguate the three overlapping candidates for the JWT (jwt, token, input) or clarify the role of secret. Since the schema's 'coverage' is semantically empty and the description fails to compensate, the baseline of 3 is not earned.
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 'JWT Verify: JWT Verify' merely restates the tool name — a pure tautology that adds zero information. It never states what verifying a JWT entails (signature check, expiry, claims) or how this differs from sibling x402-jwt-decode, which is an adjacent concern. An agent cannot determine what outcome 'verify' produces or what problem it solves.
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 whatsoever on when to use this tool versus alternatives. It does not mention when verification is preferable to decoding (x402-jwt-decode), nor does it reference any other sibling. No conditions, prerequisites, or exclusions are provided, leaving the agent to guess under what circumstances this tool should be selected.
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.