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minia2a-mcp

x402-sql-check

x402-sql-check: SQL injection + dangerous operation detection

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sqlNoSql to process
queryNoQuery to process

TDQS

C2.6/5.0
Behavior2/5

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. It implies a static analysis/scan operation but never states whether it executes the SQL, what 'dangerous operation' covers (e.g., DROP, DELETE, TRUNCATE), or what the output looks like. For a security tool this leaves critical behavioral unknowns.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is one compact line and easily scannable, but it wastes its opening on a verbatim repeat of the tool name. It is arguably under-specification rather than disciplined conciseness, leaving the remaining dimensions starved of the detail they need.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a security-detection tool with no annotations, no output schema, and ambiguous dual parameters, the description is inadequate. The agent is left without knowledge of the return format, the detection criteria, parameter selection, or how this differs from x402-sql-validate — all required to invoke it reliably.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Although schema coverage is 100%, the parameter descriptions 'Sql to process' and 'Query to process' are tautological restatements of the parameter names. The description does not clarify the real ambiguity: both sql and query appear to accept SQL text, yet the tool has two parameters and none required. The agent cannot determine which to supply or whether both are needed.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The core phrase 'SQL injection + dangerous operation detection' names a specific action (detection) and resource (SQL), and distinguishes it from sibling tools like x402-sql-format, x402-sql-validate, and x402-sql-explain. However, the leading 'x402-sql-check:' prefix merely repeats the tool name, which is redundant.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

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 the many SQL-related siblings (x402-sql-validate, x402-sql-explain, x402-sql-format). There are no usage conditions, exclusions, or mention of whether this should run before executing untrusted SQL. The agent must infer the use case entirely from the name.

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

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TDQS

D1.6/5.0
Disambiguation1/5

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.

Naming Consistency2/5

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.

Tool Count1/5

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.

Completeness2/5

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.

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