model_profile

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

With no annotations, the description must disclose behavioral traits. It describes what the tool reports (content list) and frames it as a read-only describe operation, but it does not explicitly state that it has no side effects, nor does it describe the return format or possible failure cases (e.g., no checkpoint loaded). The content list implies a safe read, but explicit disclosure is absent, leaving a minor gap.

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, dense sentence that fronts the main action ('Describe the currently loaded checkpoint') and then lists specific attributes. It is concise but somewhat packed with details, which slightly reduces readability. Overall, it earns its place without wasted words, so a 4 is fitting.

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?

Given no parameters and no output schema, the description must convey what the agent receives; it does so by enumerating the key components (architecture, distilled status, sampling parameters, prompt dialect, module existence). It also includes the usage timing. It lacks mention of error scenarios, but for a straightforward describe tool, the provided details are sufficient for correct invocation.

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 zero parameters and 100% schema coverage, so there is nothing to explain—the baseline for 0 parameters is 4. The description adds no parameter information because none exist, which 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 opens with the specific verb 'Describe' and the resource 'currently loaded checkpoint', then enumerates the exact content: architecture preset, turbo/distilled status, sampling parameters, prompt dialect, and module existence. This clearly differentiates it from siblings like models (which likely lists available models) or prompt_dialect (which covers only one aspect). The call-before-writing-prompt instruction reinforces its distinct role.

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 explicitly states when to call: 'Call before writing a prompt for an unfamiliar model.' This is a clear, actionable context. It does not explicitly list alternatives or exclusion conditions, but the tool's comprehensive nature and the directive make usage unambiguous, so a near-top score is warranted.

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