place_order

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

With no annotations, the description carries full burden. It states it places an order (implying mutation) but gives no details on execution behavior, error handling, rate limits, required auth, or side effects. The lack of transparency is a significant 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 extremely concise (one sentence) and front-loaded, but it sacrifices helpful detail. While not verbose, it fails to earn its space by providing actionable context.

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 9 parameters, no output schema, and no annotations, the description is woefully incomplete. It omits return value, error scenarios, order lifecycle, and any constraints like price format or validation rules.

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 coverage is 56% (5 of 9 parameters have descriptions). The description adds no parameter-level clarification beyond the schema, leaving agents to rely solely on the schema for understanding meaning and constraints.

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 'Place a new order' clearly states the verb and resource, distinguishing it from order cancellation or simulation tools. However, it does not elaborate on the type of orders (e.g., market, limit) or differentiate from what_if_order for simulative trials.

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 place_order versus sibling tools like what_if_order or cancel_order. There is no mention of prerequisites, required connections, or order lifecycle context, leaving the agent to infer usage.

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