Simulate Cutoff Change

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

With no annotations provided, the description carries full responsibility for behavioral disclosure. The term 'dry-run' implies no permanent changes, but the description does not explain side effects, authorization requirements, rate limits, or what the output represents. This is insufficient for an AI agent to understand the tool's impact.

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 short (one sentence), but it is not efficient—it contains redundancy ('simulate cutoff change simulation') and lacks structure. While brevity is valued, the description fails to pack essential information into the limited space.

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 tool's complexity (13 parameters, nested objects, no output schema, no annotations), the description is severely incomplete. It does not explain inputs, outputs, behavior, or how the simulation works. The agent would be unable to use this tool effectively without additional documentation.

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%, meaning the input schema provides no parameter descriptions, and the tool description adds less than the schema. The description does not clarify the meaning or usage of any of the 13 parameters, including complex ones like 'proposedChange' and 'target'. This forces the agent to guess or ignore them.

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 'Run a dry-run simulate cutoff change simulation' indicates the tool performs a simulation of a cutoff change. However, it is somewhat tautological ('simulate...simulation') and does not clearly distinguish from sibling tools like simulate_quality_profile_change or simulate_score_change, which are also simulation tools.

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 provides no guidance on when to use this tool versus alternatives, no prerequisites, and no conditions under which it should not be used. The agent receives no context to help decide between this and similar simulation tools.

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