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

With no annotations, the description carries the full burden and adds useful behavioral context: it integrates live operational statuses, predictive congestion models, and inland bottlenecks, returns a structured traceable response for M2M agents, and discloses that horizon_hours is rounded to daily precision internally. It does not state whether the operation is read-only, but the 'Assesses' framing implies a non-mutating read.

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 front-loaded with the core purpose and integration scope, then moves to structured argument details. Every sentence earns its place, and the Args section compensates for the schema's lack of descriptions without being 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?

For a four-parameter integrated assessment tool with an output schema, the description provides complete parameter semantics and useful behavioral context. It is nearly complete, lacking only explicit guidance on when to prefer it over sibling tools and a clear read-only safety statement.

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 entirely, and it does: it documents port_id as UN/LOCODE with examples, corridor_id as optional with examples, horizon_hours with default, valid range, and internal rounding behavior, and objective as optional with examples. This fully covers all four parameters and adds meaning beyond the bare schema.

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 states a specific verb and scope: 'Assesses end-to-end logistics disruption for a specific port and optionally a corridor.' It also distinguishes itself as an integrated tool combining operational, congestion, and inland data. However, it does not explicitly differentiate from sibling tools like evaluate_end_to_end_supply_chain_risk.

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?

Usage context is implied: the tool is for port-level end-to-end disruption assessment and is noted as suitable for M2M agents. But there is no explicit when-to-use guidance, no when-not-to-use guidance, and no named alternative among the many sibling evaluation tools.

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