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model_add_versioning

Add model versioning and lineage to your project directory, enabling change tracking and reproducible ML workflows.

Instructions

Add model versioning and lineage

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
api_keyNo
directoryYesProject directory
Behavior2/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It indicates a mutation ('Add') but does not say what files are modified, whether versioning/lineage affects existing data, whether api_key is required for external service calls, or whether the operation is reversible.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely concise with no filler words or repetition. The verb and object are front-loaded. However, it is arguably too sparse for a tool with behavioral and parameter complexities, so it earns a slightly reduced score.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no annotations, no output schema, and a complex operation like adding versioning and lineage, the description is insufficient. An agent cannot determine what artifacts will change, whether external systems are contacted, what success looks like, or which project files are targeted.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is only 50%; 'directory' is documented but 'api_key' is not. The description adds no meaning for either parameter beyond what the schema already provides, and it fails to clarify how api_key relates to versioning or lineage.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a clear verb ('Add') and specifies the resource ('model versioning and lineage'), which distinguishes it from siblings like model_add_deployment or model_setup_registry. It does not elaborate on the exact scope, but the core purpose is understandable.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is given on when to use this tool versus alternatives, what prerequisites exist, or in what project context it applies. The phrasing 'Add model versioning and lineage' implies a generic setup action but provides no decision framework.

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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