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

With no annotations provided, the description carries the full behavioral burden. It usefully discloses the evaluation scope and output shape, including letter grade, numeric score, per-flag remediation, and pass/fail verdict. It does not state whether the operation is read-only, whether prompts are sent externally, or whether there are privacy or rate-limit considerations.

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 two tight sentences with no wasted text. The primary action is front-loaded, and the return values are summarized efficiently.

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 three-parameter evaluation tool with no output schema, the description sufficiently covers what the tool does and what it returns. The main missing element is guidance on when to use it versus sibling validators/scorers, not invocation-critical information.

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 all three parameters are already documented in the schema. The description reinforces that the system prompt is the input and agent config is optional, but it does not add meaningfully more parameter-level guidance beyond the schema baseline.

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 uses a specific verb and resource: it runs a system prompt (and optional agent config) through a 45-criterion alignment/safety rubric. It also states the output clearly. It does not compare itself to sibling validation or scoring tools, so it falls short of full sibling differentiation.

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 usage context is implied: this is the tool for evaluating an AI system prompt against an alignment/safety rubric. However, the description gives no explicit when-to-use guidance, no exclusions, and does not name alternatives such as readability_grade or humanizer_score.

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