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openascot

CKAN MCP Server

by openascot

list_datasets

Retrieve datasets from CKAN open-data portals with pagination controls. Browse available data collections by specifying result limits and offsets for efficient dataset discovery.

Instructions

List all available datasets with pagination

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum number of datasets to return
offsetNoNumber of datasets to skip (for pagination)
includeTotalNoWhen true, queries CKAN for the total dataset count (extra request).
Behavior2/5

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 pagination but doesn't describe response format, error conditions, rate limits, authentication needs, or whether this is a read-only operation. For a list tool with zero annotation coverage, this leaves significant behavioral gaps.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence that communicates the core purpose and key feature (pagination) without any wasted words. It's appropriately sized and front-loaded with essential information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given 3 parameters with full schema coverage but no annotations and no output schema, the description provides minimal but adequate context for a basic list operation. However, it lacks details about response format, error handling, and differentiation from sibling tools, which would be helpful for an AI agent.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so all parameters are documented in the schema. The description adds no additional parameter semantics beyond mentioning 'pagination' (which relates to limit/offset parameters already described in schema). Baseline 3 is appropriate when schema does the heavy lifting.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb 'List' and resource 'datasets' with the scope 'all available', providing a specific purpose. However, it doesn't explicitly distinguish this tool from sibling tools like 'search_datasets' or 'find_relevant_datasets', which might offer filtering capabilities.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description mentions 'with pagination', which implies usage for handling large result sets, but provides no explicit guidance on when to use this tool versus alternatives like 'search_datasets' or 'find_relevant_datasets'. There are no when-not-to-use statements or prerequisite information.

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

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