Vertica 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. However, it only states the action generically ('analyze') without explaining what the tool actually does—e.g., whether it runs queries, collects metrics, generates reports, or modifies data. It lacks critical details like permissions needed, side effects, rate limits, or output format, making it inadequate for a tool with 4 parameters.

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 concise with a single sentence, but it's under-specified rather than efficiently informative. While it avoids unnecessary words, it doesn't front-load key details—the phrase 'with improved efficiency' adds little value and could be replaced with more substantive information. It earns a middle score for brevity but lacks meaningful structure.

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 4-parameter tool with no annotations, 0% schema coverage, and no output schema, the description is severely incomplete. It doesn't explain what the tool analyzes (e.g., CPU, memory, queries), how results are returned, or the purpose of parameters, leaving the agent unable to use the tool correctly. This is inadequate for even basic functionality.

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%, meaning none of the 4 parameters have descriptions in the schema. The tool description adds no information about what parameters like 'window_minutes', 'bucket', 'top_n', or 'flush' mean or how they affect the analysis. Without this, the agent cannot understand how to use these parameters effectively, failing to compensate for the schema gap.

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 'Analyze system performance with improved efficiency' is vague and tautological. It restates the tool name ('analyze_system_performance') with the generic addition 'with improved efficiency', which doesn't clarify what specific resource or scope is being analyzed. It fails to distinguish this tool from sibling tools like 'database_status' or 'generate_health_dashboard' that might also analyze performance aspects.

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. It doesn't mention any context, prerequisites, or exclusions, nor does it reference sibling tools like 'database_status' or 'profile_query' that might be related. This leaves the agent with no information to make an informed choice among performance-related tools.

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