get_pricing
MyDataPass products and public prices: Exit, Exit Evidence Sprint, Exit-Ready and Enclave.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
MyDataPass products and public prices: Exit, Exit Evidence Sprint, Exit-Ready and Enclave.
| 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?
No annotations are provided, so the description carries the full behavioral burden, and it discloses nothing: no indication of whether pricing is live or cached, whether authentication is required, or whether results can change. The only implicit signal is that it reads public prices, which is weak but non-destructive.
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?
One compact sentence with the resource front-loaded and a concrete product list; nothing is wasted. It falls short of 5 because the fragmentary phrasing lacks an action verb, making it terse 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 simple zero-parameter read tool with no output schema, the description conveys the returned domain and enumerates the products, which is adequate coverage. It omits return structure and any hint about currency, refresh cadence, or ordering, so it is minimally sufficient rather than 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 tool takes zero parameters, so there are no parameter semantics to explain; the baseline for a 0-parameter tool is 4. The description correctly adds no parameter discussion, though it also does not clarify that no filtering options exist.
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 names the resource (MyDataPass products and their public prices) and enumerates the covered products, so the content domain is identifiable. However, it is a noun phrase with no verb, so the agent cannot tell whether it lists, looks up, or returns pricing on request. It is distinguishable from siblings by content but not explicitly differentiated.
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 guidance on when to call this tool, when not to, or what alternative to use for related needs. The agent must infer that this is the pricing lookup versus about_mydatapass or check_compliance_requirement purely from the resource name.
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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