list_freee_companies

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

No annotations are provided, so the description must convey behavioral traits. It states the action is a list operation and mentions the OAuth token, but it does not explicitly confirm it is read-only or state any side effects. For a simple listing tool, this is adequate but not fully 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 consists of two concise sentences that front-load the main action and include a Japanese translation for clarity. Every sentence adds value without unnecessary detail.

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 parameterless list tool, the description fully covers what the tool does, what it returns, and a typical use case. No additional information from an output schema is needed to understand the tool's behavior.

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?

The tool has zero parameters, and the schema coverage is 100%. The description adds no parameter-specific details, which is appropriate since there are none. Per the baseline rule for 0 parameters, a score of 4 is given.

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 action ('List all companies'), the resource ('companies accessible by the configured freee OAuth token'), and the output ('Returns company IDs + names'). It also provides a use case ('Used for multi-company batch processing'), distinguishing it from sibling tools that perform different operations.

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 implicitly indicates when to use the tool (to list accessible companies and obtain IDs/names for batch processing). It does not explicitly state when not to use it or list alternatives, but the context is clear and no sibling tool overlaps this functionality.

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