x402-sql-validate
SQL Validate: SQL Validate
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| sql | No | Sql to process | |
| input | No | Input to process |
SQL Validate: SQL Validate
| Name | Required | Description | Default |
|---|---|---|---|
| sql | No | Sql to process | |
| input | No | Input to process |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of behavioral disclosure. It reveals nothing about whether this performs syntax validation, semantic checks, dialect-specific validation, error reporting, or how the 'input' parameter affects behavior. The tool is effectively a black box.
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 very short, but this is under-specification rather than effective conciseness. The only sentence is a tautology that repeats the tool name and provides no useful structure or content.
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 annotations, the description must explain return values, expected inputs, failure behavior, and edge cases. It explains none of these. An agent cannot safely or reliably invoke this tool based on the provided definition.
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 100%, with generic descriptions 'Sql to process' and 'Input to process', so the baseline of 3 applies. However, the tool description itself adds no parameter meaning, and the schema descriptions are too vague to clarify the relationship between the sql and input parameters.
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 is 'SQL Validate: SQL Validate', which merely restates the tool name and provides no verb-resource explanation. It does not say what validating SQL means, what inputs are checked, or how this differs from the many SQL-related sibling tools.
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 about when to use this tool versus alternatives. With siblings like x402-sql-check, x402-sql-explain, x402-sql-format, and x402-ai-sql, an agent cannot tell which tool is appropriate. The description is not actively misleading, but it provides zero selection guidance.
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.