celebrum.simulate

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

With no annotations, the description carries the full burden of behavioral disclosure. It explains that the tool runs a simulation and returns outputs, but it does not mention side effects, state changes, permissions, or whether it is read-only. This is a significant gap for a tool with zero annotation coverage.

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, clear sentence that front-loads the tool's purpose and output. It is concise with no wasted words, though it could have included a bit more structural guidance without becoming verbose.

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 the absence of annotations, no output schema, and minimal parameter details, the description is too sparse. It states the return values but omits side effects, usage boundaries, and error conditions. For a simple one-parameter tool, it is not complete enough for an agent to invoke it confidently.

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 0%, so the description must compensate for missing parameter details. It only refers to a 'what if' scenario, providing a minimal hint but no explanation of scenario format, constraints, or examples. The single 'scenario' parameter is not elaborated meaningfully beyond its name.

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 ('Run') and resource ('Persona Model') and states the output (stance, reasoning, value conflicts). It is clear but does not explicitly differentiate from sibling tools like celebrum.recall or celebrum.validate.

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 phrase 'what if scenario' implies when to use the tool, but there is no explicit guidance about when not to use it or how it compares to alternatives. Usage is implied rather than stated.

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