list_metadata

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

No annotations are provided, so the description carries the full burden. It discloses that this is a bulk read of reference data (implying read-only, safe), but says nothing about permissions, caching, or volatility of the returned values. Adequate but thin for a no-annotation tool.

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?

A single front-loaded sentence with no filler; the enumerations earn their place by telling the agent which reference categories to expect. Very efficient.

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 zero-parameter metadata lookup with an output schema present, the description needn't explain return values, and it does cover what categories are returned. Complete enough to call correctly, though a note on typical usage order (call before ID-based tools) would round it out.

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 takes zero parameters, so there is nothing to document and the baseline of 4 applies. The description adds no parameter meaning because none is needed.

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?

States a specific verb (返す/returns) and enumerates the resource types returned (tracker/status/priority/user/work classification), so an agent knows exactly what comes back. It doesn't explicitly differentiate itself from siblings, but the reference-data scope is distinct enough to be identifiable.

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 phrase『ID 指定に必要な参照情報』implies the tool should be called to obtain valid IDs before invoking ID-requiring tools, which is useful implied usage. However, it never states when to use it versus alternatives or gives explicit context/exclusions.

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