List versions
list_versionsList the saved version snapshots for a Wavelength flow, newest first. Returns per version: version_id, label, and created_at.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| flow_id | Yes | The id of the flow. |
list_versionsList the saved version snapshots for a Wavelength flow, newest first. Returns per version: version_id, label, and created_at.
| Name | Required | Description | Default |
|---|---|---|---|
| flow_id | Yes | The id of the flow. |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint=false, so the safety profile is covered structurally. The description adds real context beyond that: the result ordering ('newest first') and the payload shape (version_id, label, created_at) that would otherwise be unknown with no output schema.
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?
Two short sentences with zero filler, and the scope + ordering constraint is front-loaded in sentence one before the return-shape detail. Every clause earns its place.
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 single-parameter read-only list tool with no output schema, the description covers purpose, ordering, and the returned fields. An agent has everything needed to select and call it correctly, and the missing output schema is compensated by the explicit return-field list.
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?
One required parameter with 100% schema description coverage, so the schema already documents flow_id fully. The description implies the scope ('for a Wavelength flow') but adds no format, validation, or identification guidance beyond the schema. Baseline 3 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?
Specific verb + resource ('List the saved version snapshots for a Wavelength flow') with an added ordering guarantee ('newest first'). It reads clearly against generic siblings like list_flows, but it never distinguishes itself from version-related siblings such as compare_versions or restore_version.
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?
Usage is only implied by the noun phrase 'version snapshots' for a given flow; there is no explicit when-to-use statement. With siblings like compare_versions and restore_version in the toolset, a stronger description would route the agent ('use compare_versions to diff two versions, restore_version to roll back').
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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