CKAN 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 but provides minimal information. It mentions 'comprehensive analysis' but doesn't explain what this analysis entails, what format the results take, whether it's a read-only operation, performance characteristics, or any limitations. The description is too generic to guide an agent on what to expect from this tool's behavior.

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 (4 words) but under-specified rather than efficiently informative. While it's front-loaded with the only information provided, it fails to convey meaningful content about the tool's purpose or behavior. Conciseness should not come at the expense of 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?

For a complex tool with 11 parameters, no annotations, and no output schema, the description is completely inadequate. It doesn't explain what insights are generated, what the output format looks like, or how this 'comprehensive analysis' differs from using multiple specialized tools. The description fails to compensate for the lack of structured metadata.

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 schema description coverage is 100%, so the schema already documents all 11 parameters thoroughly. The description adds no parameter-specific information beyond what's in the schema. According to scoring rules, when schema coverage is high (>80%), the baseline is 3 even with no param info in the description.

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 'Comprehensive analysis combining multiple dimensions' is vague and tautological - it essentially restates the tool name 'get_dataset_insights' without specifying what kind of analysis it performs or what insights it provides. It doesn't clearly distinguish this from sibling tools like 'analyze_dataset_structure' or 'analyze_dataset_updates' which seem to perform more focused analyses.

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. With sibling tools like 'analyze_dataset_structure', 'analyze_dataset_updates', 'find_relevant_datasets', and 'search_datasets' available, there's no indication of when this comprehensive analysis tool is preferable to more specialized tools or basic search functions.

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