llm_presets

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

With no annotations provided, the description carries full responsibility for disclosing side effects. It mentions saving to a vault, but it does not disclose that the tool can also update or delete presets, nor does it explain persistence, permissions, or other mutation consequences. This is a significant gap for a CRUD-like tool.

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 short and front-loaded with concrete examplescase. The first sentence could be slightly tighter since 'Manage and inspect' overlaps with the second sentence's action list, but overall it remains concise and scannable.

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 covers the core list/view/save functionality but omits mention of update and delete actions that the schema supports, and it does not describe return values in the absence of an output schema. The examples compensate somewhat, but for a 7-parameter CRUD tool with no annotations, the description is not fully complete.

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 100%, so the schema already documents all seven parameters in detail. The description adds useful example values for the `name` parameter but does not add meaning beyond the schema, so the baseline 3 is appropriate.

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 resource ('expert System Personas and Prompt Presets') and gives concrete example names. It names the primary actions ('list', 'view', 'save'), which distinguishes it from the sibling generation and query tools without needing to open the schema.

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 implies when to use the tool: when the agent needs to list, inspect, or save presets. However, it does not explicitly state when not to use it or mention any alternatives, so the usage guidance is implied rather than explicit.

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