akai_mfa_dict

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

With no annotations provided, the description carries full burden for behavioral disclosure. It states only that it is an 'operator' and 'specialized', which gives no insight into safety (e.g., read-only vs destructive), authentication needs, side effects, or performance implications.

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 extremely short (one sentence), but it achieves this by omitting essential information. This is under-specification, not concise effectiveness. It lacks structure and fails to be informative.

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 the obscure name and numerous siblings, the description fails to provide sufficient context to understand the tool's role. It does not explain return values, side effects, or integration points. The tool is completely under-described for an agent to use it correctly.

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% as both 'args' and 'stdin' have descriptions in the input schema. The tool description adds no additional meaning beyond what the schema already provides. Baseline 3 is appropriate since the schema handles parameter documentation but the description offers no extra context.

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 merely restates the tool name as 'AkaiMFADict operator' with a vague category tag. It does not specify what the tool does (e.g., create, retrieve, transform) or what resource it acts upon. This is a tautology and fails to define a clear purpose.

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 instead of the numerous siblings (e.g., akai_api, akai_learn). There is no mention of prerequisites, context, or exclusion criteria. The description offers no usage context.

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