pplx_gpt56_sol_thinking

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

No annotations provided, so description carries full burden. It mentions cost (1 PRO SEARCH QUERY) and subscription requirement, which is useful, but does not disclose other behavioral traits like rate limits, side effects, or whether it reads or writes data.

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 (two lines). While it front-loads the model name, it is too brief to convey necessary information. Conciseness is positive, but it sacrifices completeness.

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?

The tool has 3 parameters and exists among many model-specific siblings. The description does not explain how to use the tool, what 'thinking' entails, or how to structure queries. An output schema exists but its contents are unknown; the description still lacks context 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?

Input schema has 3 parameters with 0% description coverage, and the tool description does not mention any parameter. The meaning of 'query', 'source_focus', and 'conversation_id' remains completely unexplained, failing to compensate for the schema gap.

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 identifies the model (GPT-5.6 Sol Thinking) but lacks a verb specifying the tool's action. It is unclear whether the tool executes a query, generates text, or performs a search. Compared to siblings like pplx_query, the purpose is 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?

No explicit guidance on when to use this tool versus alternatives like pplx_gpt56_sol (without thinking) or other models. The description implies it's for complex reasoning ('most powerful model with thinking') but does not state exclusions or context.

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