akai_finance

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

Without annotations, the description should disclose behavioral traits such as side effects or permissions. It only provides a high-level purpose ('engine'), leaving the agent uncertain about whether this tool reads, writes, or has destructive effects.

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 a single sentence, concise but lacking necessary detail. It does not waste words but is under-informative for an agent to reliably select or invoke the tool.

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 no output schema and a vague description, the tool's behavior and return structure are unclear. The description should provide more context about what the tool produces or how it operates, but falls short.

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%; the descriptions 'CLI arguments' and 'Optional stdin data' already define the parameters. The tool description adds no further semantic value, so a baseline score of 3 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 mentions 'service arbitrage, labor pipeline, and bundle pricing engine', giving a broad sense of the tool's domain, but lacks a specific verb and resource that clearly distinguishes it from siblings like akai_economy or akai_offer.

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 this tool vs. alternatives, nor are there any exclusions or context for its invocation.

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