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devdotbo

Perplexity Web MCP

by devdotbo

pplx_nemotron_thinking

Generates answers with NVIDIA's Nemotron 3 Super 120B model, using extended thinking for complex reasoning. Each query uses one Pro Search credit.

Instructions

Nemotron 3 Super — NVIDIA's Nemotron 3 Super 120B model with extended thinking. COSTS 1 PRO SEARCH QUERY.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes
source_focusNoweb

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations provided, so description carries full burden. It discloses cost (COSTS 1 PRO SEARCH QUERY) but lacks other behaviors such as response format, latency, or limitations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences, no waste. However, the first sentence could front-load the action rather than just naming the model.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the complexity (extended thinking model, many siblings, parameters), the description is too minimal. Lacks usage context, parameter details, and behavioral traits beyond cost.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema has 2 parameters with 0% description coverage. The tool description does not explain what 'query' or 'source_focus' mean or how to use them.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

Description names the model and mentions 'extended thinking,' implying reasoning, but doesn't explicitly state the action (e.g., 'generate a response'). Distinction from siblings like pplx_query is unclear.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to use this tool vs alternatives or when not to use it. With many sibling tools, this omission hinders correct selection.

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

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