Canada Open Data Search — Evidence
canada_open_data_search_evidenceFREE beta. Canada dataset search with descriptions, resource links, formats and provenance.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | ||
| query | Yes |
canada_open_data_search_evidenceFREE beta. Canada dataset search with descriptions, resource links, formats and provenance.
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | ||
| query | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The annotations already mark the tool as read-only, open-world, idempotent, and non-destructive, and the description does not contradict them. The description adds only a free/beta status and the kind of fields returned; it does not cover rate limits, pagination, query syntax, or failure behavior. This is moderate transparency beyond what annotations provide.
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 one compact sentence with no redundant repetition. The output components are listed efficientlyholidays. 'FREE beta' is slightly peripheral but not bloated, so the overall structure is appropriately sized.
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 simple two-parameter search with strong annotations, the description is close to adequate: it states purpose and result contents. However, it lacks explicit sibling routing, parameter semantics, and any operational context such as pagination or behavioral edge cases. An agent can infer how to call it, but the context is not fully complete.
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 has 0% description coverage, and the description does not explain the meaning of 'query' or 'limit'. The parameter names and bounds make the general intent inferable, but the description does not compensate for the missing schema descriptions by explaining defaults, ordering, or how limit applies.
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 identifies the resource ('Canada dataset search') and lists the result components: descriptions, resource links, formats, and provenance. It is more specific than the tool name alone, but it does not explicitly differentiate this 'evidence' variant from the sibling canada_open_data_search_basic. The distinction relies on the title rather than the description text.
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?
No guidance is given about when to use this tool instead of canada_open_data_search_basic or any other sibling. The 'FREE beta' note conveys status but not usage context. There are no explicit selection criteria, exclusions, prerequisites, or alternative recommendations.
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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