restart_model_loading

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

No annotations are provided, and the description only says 'restart' without disclosing potential side effects (e.g., whether it terminates an ongoing process, clears state, or is destructive). The tool's impact on the system is vague, leaving the agent uncertain about its consequences.

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 a single, focused sentence. The parenthetical reference to `get_stored_response_with_markdown` adds relevant context without unnecessary verbosity. It is concise and well-structured.

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?

The description explains the purpose, the related tool, and the trigger condition, providing enough context for a simple no-parameter action. It does not discuss expected outcomes or post-conditions, but for this straightforward tool, the given context is adequate.

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 tool has no parameters, so the empty schema is fully covered. There is nothing to describe, making this a neutral score. The description does not mention parameters because none exist.

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 identifies the action (restart), the target (PDF models loading process), and the condition (if failed or stuck). Referencing the related tool `get_stored_response_with_markdown` adds useful context, though the exact nature of 'restart' could be slightly more explicit.

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?

It provides specific conditions for use: only when the process failed or got stuck. This implicitly communicates when not to use it, but it does not elaborate on any prerequisites or fallback steps.

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