CockroachDB MCP Server

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 mentions transactional execution, which implies atomicity and rollback on failure, but fails to detail critical aspects like required permissions, whether it's read-only or destructive, potential side effects (e.g., data modification), error handling, or performance implications. This leaves significant gaps for a tool that likely involves database mutations.

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 front-loaded with the core purpose in the first sentence, followed by structured 'Args' and 'Returns' sections. It avoids unnecessary fluff, but the 'Returns' section could be more informative (e.g., specifying return types or examples). Overall, it's efficient but has minor room for improvement in clarity.

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?

Given the complexity of a transactional SQL execution tool, the description is incomplete. No annotations exist to cover safety or behavioral traits, and there's no output schema to explain return values. The description lacks details on error handling, atomicity guarantees, side effects, and how it differs from siblings in practice, making it inadequate for safe and effective use by an AI agent.

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 description adds meaningful context beyond the input schema, which has 0% description coverage. It explains that 'queries' is a 'List of SQL queries to execute,' clarifying the parameter's purpose and format. However, it doesn't specify constraints (e.g., query syntax, size limits) or provide examples, which could enhance understanding further.

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 clearly states the tool's purpose: 'Execute a list of SQL queries as a single transaction.' It specifies the verb ('execute') and resource ('SQL queries'), and distinguishes it from the sibling 'execute_query' by emphasizing transactionality and batch processing. However, it doesn't explicitly differentiate from other siblings like 'bulk_import' or 'create_table', which might also involve transactional operations.

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?

The description implies usage context by mentioning 'as a single transaction,' suggesting it should be used for atomic operations where multiple queries must succeed or fail together. However, it lacks explicit guidance on when to use this versus alternatives like 'execute_query' for single queries or other siblings for specific tasks, and no exclusions or prerequisites are provided.

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