get_gdi_trend_analysis

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

With no annotations, the description carries the full burden. It details the outputs: current score, comparisons, direction, velocity, pillar momentum, and risk acceleration. It also frames the questions answered. However, it omits any mention of limitations, data freshness, or authentication requirements, which would make it more transparent.

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 efficient and front-loaded. It starts with the core purpose, then expands on specific metrics, and ends with use case examples. Every sentence adds value with no wasted words.

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 has zero parameters and no output schema, the description provides a thorough overview of what the tool returns and its purpose. However, it could be more complete by specifying data range defaults or score interpretation, but overall it is sufficiently informative.

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?

There are zero parameters, so the description naturally cannot add parameter-level meaning. The schema coverage is 100%, so the baseline of 4 is appropriate.

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 clearly states it provides trend analysis of the Global Disruption Index over time, listing specific metrics (7-day, 14-day, 30-day comparisons, direction, velocity, pillar momentum). While it doesn't explicitly differentiate from siblings, the unique focus on GDI trend implicitly distinguishes it among the many sibling 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 context for use ('supply chain executives for weekly briefings, traders for timing decisions') but does not explicitly contrast with sibling tools or state when not to use it. It lacks exclusions or alternative recommendations.

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