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

The annotations already declare readOnlyHint, idempotentHint, and destructiveHint, and the description adds meaningful behavioral detail: availability is dynamic and only entries with executable:true can actually run. It also mentions fallback metadata, which is useful beyond the structured annotation info.

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?

Two tight sentences front-load the main purpose and immediately clarify the executable-versus-planned distinction. Every clause contributes meaning; no redundancy or filler.

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?

This is a straightforward read-only list tool with one optional parameter, and the description covers the primary output fields. There is no output schema, so the description's list of availability, complexity, executable status, and fallback metadata provides enough context for an agent to understand what it will receive without over-explaining.

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% and the includePlanned parameter is well-explained in the schema itself. The tool description does not add any additional parameter-specific meaning, so this stays at the baseline 3.

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 uses a specific verb and resource ('Lists Minds research methods') and clearly states the key reported attributes: availability, complexity, executable status, and fallback metadata. It also distinguishes the distinction between executable and planned methods, which separates it from sibling list tools like list_groups and list_panels.

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 gives clear context on when this tool is useful—when you need to know which research methods are executable versus experimental/planned. The parameter description reinforces this by saying the model can 'explain framework compatibility,' but no explicit alternative tools or exclusions are mentioned.

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