Refresh federal contract data
refresh_dataRefresh contract data from CanadaBuys.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
refresh_dataRefresh contract data from CanadaBuys.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The annotations indicate this is a read operation (readOnlyHint: false) and not destructive (destructiveHint: false), but openWorldHint: true suggests it may involve external calls. The description adds minimal context: it mentions the data source (CanadaBuys) but does not reveal implications like potential timeouts, rate limiting, or that it may overwrite cached data. It neither contradicts nor significantly extends the annotations.
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 short (one sentence) and front-loads the action ('Refresh') and the resource ('contract data from CanadaBuys'). It is concise and structured appropriately for the simple nature of the tool. Every word is relevant, with no filler.
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 tool has no parameters and a simple operation, the description is largely complete; however, it lacks any context about the result of the operation, such as what the refreshed data is used for, any side effects, or how it relates to the other data tools. Without an output schema, the description needs to convey this, and it does not.
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?
With zero parameters and high schema coverage (100%), the description has no parameter details to add. The description and schema align: there are no parameters to explain. This tool requires no input, so the description correctly omits parameter semantics.
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 states the action ('Refresh') and the resource ('contract data from CanadaBuys'), which is a clear verb+resource. However, it does not distinguish it from other operationally similar tools like 'summarize_contracts' or 'search_contracts' beyond the refresh verb, potentially confusing an agent about the exact data source scope.
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?
There is no explicit guidance on when to use this tool versus the many sibling tools. The description does not specify scenarios like 'use when you need the latest data' or alternatives such as 'search_contracts' for querying. This omission means an agent must infer usage from the title and description alone.
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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