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

Annotations already declare the tool as read-only, idempotent, and open-world. The description adds valuable behavioral context by explaining what data sources are used (IMF SDR, BIS) and what the output includes (quantitative rating, liquidity risk indicators), which enriches understanding beyond the structured metadata.

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 three sentences, front-loaded with the core purpose, and contains no redundant information. Every sentence earns its place by covering purpose, inputs, and outputs succinctly.

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 that an output schema exists and annotations cover read-only/idempotent behavior, the description is fairly complete. It explains the tool's functionality, key inputs, and output nature. It does not mention potential limitations or interpretation nuance, but the output schema likely covers return values, so the description serves its complementary role well.

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 100%, so the schema already documents all parameters. The description only reiterates the key inputs (sector, geographic exposure, ESG risk scores) without adding new meaning or syntax details, placing it at the baseline of 3 for parameter semantics.

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 the tool's specific purpose: assessing how ESG factors influence working capital efficiency, using IMF SDR and BIS data. It explicitly mentions the output (quantitative impact rating on DSO, inventory turnover) and distinguishes itself from sibling tools by focusing on this niche intersection of ESG and working capital.

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 implies usage context by addressing a CFO and describing the assessment scenario, but it does not explicitly state when to use this tool over alternatives or provide exclusions. It mentions data sources (IMF SDR, BIS) as a differentiator, but lacks direct guidance on tool selection relative to siblings.

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