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developer.sql-change-review

Read-onlyIdempotent

Statically parse caller-supplied SQL without a database connection or execution, inventory statements and tables, and flag destructive DDL, unfiltered writes, and migration atomicity concerns.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sqlYes
dialectNopostgres

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYesStructured SQL change review result
metaYes
serviceYes
versionYes
request_idYesUnique request identifier

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint, but the description adds valuable context: it operates without a database connection or execution, and it specifically flags destructive DDL, unfiltered writes, and migration atomicity concerns. This goes beyond the annotations by describing analytical behavior.

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

Conciseness5/5

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

The description is a single 25-word sentence that front-loads the main action ('Statically parse caller-supplied SQL') and conveys all key aspects efficiently. There is no redundancy or unnecessary detail.

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

Completeness4/5

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

Given the presence of an output schema and annotations, the description adequately covers the tool's purpose and key analytical capabilities. It does not explain how dialect affects analysis or how invalid SQL is handled, but these may be covered by the output schema. It is sufficient for a user to select this tool appropriately.

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?

Schema description coverage is 0%, so the description must compensate. It implicitly describes the 'sql' parameter as 'caller-supplied SQL', but it does not mention the 'dialect' parameter or explain how it affects parsing. With two parameters, this is a meaningful gap.

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

Purpose5/5

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

The description clearly states the tool's function with specific verbs ('parse', 'inventory', 'flag') and identifies the resource ('caller-supplied SQL'). It distinguishes itself from sibling tools like code-change-review by emphasizing static analysis without database connection or execution, making its purpose unambiguous.

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

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies the tool is used for reviewing SQL changes statically but does not explicitly state when to use it versus alternatives, nor does it provide exclusions or mention sibling tools. It gives context (no DB execution) but lacks direct guidance on selection.

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

A3.8/5.0
Disambiguation4/5

Tools are grouped into clear domain prefixes (crypto, data, developer, document, research, web) and each tool name describes a specific function; however, a few umbrella tools like web.full-audit and data.contract overlap with their more targeted counterparts, creating minor ambiguity.

Naming Consistency5/5

All tool names follow a consistent pattern: a domain prefix, a dot, and a hyphenated lowercase compound name (e.g., crypto.base-block-inspect, web.seo-audit). This makes naming predictable and easy to scan.

Tool Count1/5

At 63 tools, the surface area is very large and exceeds the 50+ threshold for extreme mismatch. While the tools are organized into six domains, the sheer number makes it difficult for an agent to select efficiently, and some tools are bundled combinations of others.

Completeness5/5

Each domain offers a thorough set of operations: crypto covers address, account, block, contract, events, gas, and transaction inspection; data covers cleaning, conversion, schema, and validation; developer covers code review, dependency/license audits, and test generation; research covers SEC, OFAC, GLEIF, and USAspending; web covers extraction, SEO, security, and performance. No obvious dead ends exist for the read-only/inspection purpose.

Resources