get_version_info

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description fully describes the read-only behavior: it returns version values without side effects. It explains the meaning of each returned field (PyPI version, dataset bundle revision). No error conditions or rate limits are mentioned, but for a simple query, this is adequate.

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 concise: a few sentences that front-load the main purpose, provide usage context, and specify return values. Every sentence adds value without redundancy. Excellent structure.

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's simplicity (no parameters, output schema exists), the description is complete. It explains purpose, usage scenario, and return fields. No gaps in necessary information for an agent to select and invoke this tool correctly.

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 input schema has zero parameters and 100% schema coverage, so the baseline is 3. The description adds no parameter information (none needed), but it does clarify the output fields, which is a bonus. No points lost.

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 states the tool retrieves service version and upstream dataset version. The verb 'get' matches the tool name, and the specific returned fields (service_version, spec_version) are identified. Among sibling tools, none serve this version-check purpose, so it is distinct and unambiguous.

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?

The description explicitly states when to use this tool: to confirm fleet alignment across MCP deployments and detect drift. It implies when not to use it (when no version comparison needed). While it does not name alternatives, the sibling list shows no comparable tool, so guidance is clear.

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