CData Sync MCP Server

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

With no annotations provided, the description carries the full burden. It discloses the return types (list, get, count) and common errors including permission issues, which adds useful behavioral context. However, it doesn't mention rate limits, pagination behavior (beyond the 'top' parameter), caching, or whether this is a read-only operation (implied by name but not stated).

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 well-structured with clear sections (purpose, returns, errors) and uses bullet points effectively. Every sentence earns its place, though the 'COMMON ERRORS' section could be more concise. The front-loaded purpose statement is clear, making it appropriately sized for the tool's complexity.

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 7 parameters with full schema coverage but no annotations or output schema, the description provides adequate context for a read operation. It explains what the tool accesses and the return structure, but doesn't fully address behavioral aspects like authentication requirements, rate limits, or how it differs from other read_* tools. The error information is helpful but doesn't compensate for all missing context.

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 description coverage is 100%, so the schema already documents all 7 parameters thoroughly. The description adds no parameter-specific information beyond what's in the schema. The 'RETURNS' section maps actions to outcomes but doesn't explain parameter interactions or provide additional semantic context beyond the schema's descriptions.

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 'Access data transformations that run SQL in the destination (ELT pattern)', which specifies the verb ('Access'), resource ('data transformations'), and technical context ('ELT pattern'). However, it doesn't explicitly distinguish this read operation from its sibling 'write_transformations' tool, though the naming convention implies the distinction.

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 provides no guidance on when to use this tool versus alternatives. While it mentions 'ELT pattern' for context, it doesn't explain when to choose this over other read_* tools (like read_connections or read_jobs) or how it relates to write_transformations. The 'COMMON ERRORS' section offers troubleshooting hints but not usage guidelines.

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