pplx_claude_opus_think

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 reveals that usage costs 1 Pro Search query and requires a Max subscription, which is useful. However, it does not describe what happens upon invocation (e.g., response format, latency, or whether it is read-only or mutates state). No annotation contradiction detected.

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 short sentences, front-loading the model identity and key constraints. No unnecessary words. However, it could be more structured (e.g., separate lines for model, cost, requirements).

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 presence of 3 parameters (1 required) and an output schema, the description should cover parameter usage and output expectations. It mentions cost and subscription but omits how the parameters affect behavior or what the response contains. The output schema exists but is not referenced.

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 0%, and the description adds no information about the three parameters (query, source_focus, conversation_id). The agent must infer that 'query' is the input prompt, but no guidance on valid values or defaults is given. This is a critical 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 clearly identifies the tool as 'Claude Opus 4.8 Thinking', specifying it as the most advanced reasoning model with extended thinking. This distinguishes it from sibling tools like pplx_claude_opus (non-thinking) and pplx_claude_sonnet_think (different model). However, it does not explicitly state the action (e.g., 'ask a query using this model'), relying on the tool name to imply usage.

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. It mentions cost and subscription requirements but does not advise on scenarios where extended thinking is beneficial or when simpler models suffice. No alternative tools are referenced.

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