gt_auction_simulate

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

With no annotations, the description should disclose behavioral traits such as output format, randomness control, or side effects. It only states 'Monte Carlo auction revenue + efficiency', omitting details like return structure or reproducibility (seed parameter is present but not mentioned).

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 concise (only 4 words), but its brevity sacrifices necessary information. It is not structured with sentences or bullet points, but it avoids verbosity.

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 5 parameters, 3 required, and no output schema, the description is severely incomplete. It fails to clarify return values, parameter usage, or expected results, making it inadequate for tool 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?

Schema description coverage is 0%, and the description does not explain any parameters. Critical parameters like 'bidder_priors' (array of objects with arbitrary properties) remain undefined, leaving the agent unable to construct valid input.

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 'Monte Carlo auction revenue + efficiency' indicates the tool uses Monte Carlo simulation to compute revenue and efficiency metrics for auctions. This is clear enough given the tool name includes 'simulate', but it does not explicitly state the action 'simulates'.

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?

No guidance is provided on when to use this tool versus alternatives like gt_auction_format_recommendation or gt_auction_optimal_bid. The description lacks context for appropriate usage scenarios.

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