save_model

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

With no annotations provided, the description carries the full behavioral burden, and it does so thoroughly. It discloses side effects (saving files the model into a project), the saved-models cap with the specific 400 error_type 'saved_limit', the fact that re-saving renames/refiles without consuming a new slot, and ownership/sharing requirements for project_id.

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 well-structured and front-loaded: a one-sentence summary is followed by a concise behavioral context paragraph, a cap/error note, and a three-item Args block. Every sentence adds information needed for correct invocation, with no filler or repetition.

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 3-parameter mutation tool with no output schema, the description covers all required inputs, optional inputs, defaults, constraints, side effects, error behavior, and relevant sibling tooling. Nothing an agent needs in order to select and invoke this tool correctly is missing.

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 no per-parameter descriptions, so the description's Args section must add meaning. It does: model_hash is defined as the hash of the model to save, name is a non-empty display name, and project_id is optional, scoped by ownership/sharing, and defaults to the default project. This fully compensates for the 0% schema coverage.

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 opens with a specific verb and resource: 'Save a model into a project under a display name.' It also clarifies the otherwise subtle purpose by explaining that API-created models are unsaved until this call, and that saving makes them visible in list_models and the dashboard. This clearly distinguishes it from sibling operations like unsave_model and rename_model.

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 gives clear context for when to use the tool: API-created models start unsaved and need this call to appear in default listings. It also points agents to list_projects and create_project for discovering/creating project IDs. However, it does not explicitly contrast the tool with rename_model or unsave_model, so some alternative selection guidance is left implied rather than stated.

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