get_intelligence_briefs

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

Discloses that briefs are generated hourly from live data, are synthesized summaries (not raw data), and are suitable for dashboards. No annotations exist, so description carries the full burden, and it does so adequately.

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?

Front-loaded with purpose. Some redundancy (e.g., 'synthesized analytical summaries' vs 'not raw data'), but overall clear and well-organized.

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?

No output schema, but description explains the content type (narrative analysis, key drivers, etc.) and use. Could mention the return structure or format, but sufficient for a zero-parameter tool.

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?

No parameters in input schema. Baseline score of 4 applies as per guidelines; description adds no further parameter info but is unnecessary.

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?

Clearly states it returns AI-generated intelligence briefs covering multiple supply chain dimensions (energy, materials, transportation, macro, manufacturing). Distinguishes from sibling tools that focus on single dimensions or raw data.

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?

Specifies the tool is designed for decision-makers needing a quick read. Implicitly suggests high-level overview use case, but does not explicitly contrast with more detailed sibling tools.

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