solve_data_analysis

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

No annotations are provided, so the description bears full responsibility. It discloses that the tool produces a draft, not a final answer, which is helpful. However, it omits other behavioral traits such as side effects, authentication needs, or whether it is read-only. The single sentence leaves significant gaps.

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 very concise (one sentence) and front-loaded. However, it is overly terse and lacks sufficient detail to be helpful. While not verbose, it sacrifices substance for brevity.

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?

Despite having an output schema that might specify return values, the description fails to mention it or provide context. The tool's complexity (data analysis solving draft) and lack of parameter documentation mean the description is incomplete for effective use.

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 input schema has 0% description coverage, and the description adds no information about the parameters 'options' or 'question_text'. The agent receives no guidance on what these parameters mean or how to construct them.

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 states it builds a structured draft for data analysis solving, distinguishing it from a final answer. However, given sibling tools like 'solve_logic_reasoning' and 'compose_xingce_analysis_prompt', the purpose is not fully differentiated; the verb 'build' and 'draft' are somewhat specific but vague.

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 provides no guidance on when to use this tool vs alternatives. No prerequisites, context, or exclusions are mentioned, leaving the agent without direction among many sibling tools.

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