Cloudera Iceberg MCP Server

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

With no annotations provided, the description carries full burden for behavioral disclosure. It mentions the return format ('as JSON') which is helpful, but doesn't address critical behavioral aspects like authentication requirements, query execution limits, error handling, whether this is read-only or can modify data, or performance characteristics. For a database query tool with zero annotation coverage, this is insufficient.

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 extremely concise - a single sentence that efficiently communicates the core functionality. Every word earns its place: 'Execute' (action), 'SQL query' (what), 'on the Impala database' (where), 'and return results as JSON' (output format). No wasted words or redundancy.

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?

For a database query execution tool with no annotations, no output schema, and minimal parameter documentation, the description is incomplete. It doesn't address safety considerations (read vs write operations), authentication needs, error scenarios, or result formatting details beyond 'JSON'. The agent would need to make assumptions about many critical aspects of tool behavior.

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 0%, so the schema provides no parameter documentation. The description doesn't elaborate on the 'query' parameter beyond what's implied by the tool name. It doesn't specify SQL dialect, query limitations, or parameter formatting requirements. However, with only one parameter, the baseline expectation is lower, and the description at least confirms this is a SQL query parameter.

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 action ('Execute a SQL query') and target resource ('on the Impala database'), making the purpose immediately understandable. However, it doesn't distinguish this tool from its sibling 'get_schema' - both could involve database operations, so the distinction isn't explicit.

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 about when to use this tool versus alternatives. There's no mention of the sibling tool 'get_schema' or any context about when direct query execution is appropriate versus schema inspection. The description simply states what the tool does without usage context.

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