solutions_list

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

The description is minimal, stating only that it lists solutions. With no annotations provided, it fails to disclose any behavioral aspects such as whether it's safe (read-only), what happens if the model doesn't exist, or any side effects.

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 extremely concise, using a single line for purpose and clear sections for args and returns. Every sentence adds value; no filler.

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 simple list tool with one optional parameter and no output schema, the description is adequate but leaves ambiguity about the return format ('List of solution configurations'). It could be more complete by clarifying the structure of the returned 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?

The input schema has no parameter description (coverage 0%). The description adds the parameter's purpose ('Model name') and default value ('default: current model'), which provides meaningful guidance beyond the schema.

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 states the tool lists all solutions in a model, using a specific verb (list) and resource (solutions). It does not explicitly differentiate from sibling list tools like datasets_list or docs_list, but the resource is distinct enough.

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?

No explicit guidance on when to use or when not to use this tool instead of alternatives. The description mentions a default model but lacks context for when to specify model_name or how to determine the current model.

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