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jacob-bd

Perplexity Web MCP

by jacob-bd

pplx_gemini_pro_think

Conduct deep analysis by leveraging Gemini 3.1 Pro Thinking's extended reasoning capabilities on web-sourced information. Each query uses one Pro search credit.

Instructions

Gemini 3.1 Pro Thinking — Google's most advanced model with extended thinking. COSTS 1 PRO SEARCH QUERY.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes
source_focusNoweb
conversation_idNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations provided, the description must convey behavioral traits. It mentions 'extended thinking' and the cost, but does not disclose whether the tool is read-only, destructive, what happens during execution, or potential side effects. The behavioral insight is minimal.

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

Conciseness3/5

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

The description is very short (one sentence), which is concise, but at the expense of completeness. It lacks necessary details about functionality and parameters, so conciseness trades off against clarity.

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 tool has 3 parameters with no schema descriptions and an output schema exists, the description should provide context on how to use the tool and what to expect. It only mentions the model and cost, leaving users uninformed about return values, parameter usage, or any special behavior.

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?

The description does not explain any of the three parameters (query, source_focus, conversation_id). Since schema description coverage is 0%, the description must compensate, but it adds zero semantic value for parameters. No parameter meanings, formats, or examples are given.

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

Purpose4/5

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

The description clearly identifies the model (Gemini 3.1 Pro Thinking) and mentions it is Google's most advanced model with extended thinking, which distinguishes it from siblings. However, it does not explicitly state the action (e.g., 'perform a search' or 'generate a response'), leaving the primary function implied rather than stated.

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?

The only usage hint is 'COSTS 1 PRO SEARCH QUERY,' which implies a premium cost but provides no direct guidance on when to use this tool over alternatives like pplx_gpt54_thinking or pplx_claude_sonnet_think. No comparisons, prerequisites, or exclusions are mentioned.

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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