Model Versions
model_versionsList all published versions of a Replicate model by owner and name; returns version ids, creation timestamps, and input/output schema for each version.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| name | Yes | ||
| owner | Yes |
model_versionsList all published versions of a Replicate model by owner and name; returns version ids, creation timestamps, and input/output schema for each version.
| Name | Required | Description | Default |
|---|---|---|---|
| name | Yes | ||
| owner | Yes |
Changes observed during successful MCP inspections.
Does 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 useful behavioral detail: it returns version ids, creation timestamps, and input/output schema for each version, and it limits results to published versions, which is not fully captured by 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?
A single, front-loaded sentence that states the action, scope, identifiers, and return contents without any wasted words. It is appropriately sized for a simple two-parameter list operation.
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 read-only annotations, no output schema, and simple parameter set, the description is nearly complete: it explains the required identifiers and the returned data. The main gap is the absence of sibling routing guidance, which prevents a 5.
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?
Schema description coverage is 0%, so the description must compensate. It does identify that owner and name together specify the model whose versions are listed, but it does not add format details or examples beyond what the schema's example already provides. This partial compensation fits a 3.
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?
States a specific verb (List) and resource (published versions of a Replicate model), scoped by owner and name. It clearly distinguishes itself from siblings like model and model_version, which likely handle single models or versions.
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 explains that owner and name are required to identify the model, implying the usage context. However, it does not say when to use this tool versus alternatives such as model_version or list_models, leaving routing to inference.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.