version
Retrieve the installed fusion-cad-ai package and converter build identifiers for compatibility checks and diagnostics.
Instructions
Версия пакета fusion-cad-ai и конверта.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Retrieve the installed fusion-cad-ai package and converter build identifiers for compatibility checks and diagnostics.
Версия пакета fusion-cad-ai и конверта.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
v2.0.0Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false, so the safety profile is covered. The description adds one piece of non-redundant context: that two version values (package and converter) are returned, which hints at the return content. It says nothing about format or error behavior, but with annotations carrying the safety burden a 3 is appropriate.
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?
A single short sentence with no filler, front-loading the resource. It is minimally sized for a trivial tool, though it is terse enough that it reads more like a label than an instruction.
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 zero-parameter, read-only lookup with no output schema, the description covers what an agent needs: the identity of the returned values. Only the exact return shape/format is unspecified, which is a minor gap for so simple a tool.
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 and schema coverage is 100% (empty properties object), so the baseline of 4 applies. There is nothing for the description to clarify about arguments.
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 clearly — the version of the fusion-cad-ai package and its converter — so an agent can tell what information is returned. The verb is only implied (a version query), and it does not explicitly distinguish itself from sibling diagnostics like health_check, but the resource is specific enough to identify the tool.
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 statement of when to call this versus alternatives such as health_check or last_error, and no prerequisites or exclusions. The name and description imply a diagnostic lookup, but usage is left entirely to inference.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.