karea_ask

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

With no annotations provided, the description carries the full transparency burden. It honestly discloses that the assistant 'may read or modify your tasks' (indicating both read and write potential) and that it consumes a monthly allowance. This gives agents a good understanding of side effects, though it could detail what types of modifications are possible.

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 two sentences, each providing essential information: what the tool does and a critical constraint (usage allowance). No extraneous words, perfectly front-loaded.

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 absence of an output schema, the description mentions it returns a reply but does not describe the format or possible failure modes. However, for a general AI assistant tool, the description is sufficiently complete alongside the schema and sibling context.

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 coverage is 100% with both parameters described, so baseline is 3. The description adds context by explaining that 'message' is the natural-language request and 'projectId' provides context, which enhances understanding beyond the schema's minimal descriptions.

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 ('Send a natural-language request'), the target ('Karea AI assistant'), and the effect ('may read or modify your tasks', 'return its reply'), which distinguishes it from the many sibling tools that perform specific operations like create_task or delete_task.

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 suggests using this tool for general requests that might involve reading or modifying tasks, but it does not explicitly state when not to use it or mention alternatives like the specific sibling tools. It does warn about consuming usage allowance, which is a practical guideline.

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