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jacob-bd

Perplexity Web MCP

by jacob-bd

pplx_gpt54

Query GPT-5.4 through Perplexity for versatile, accurate responses. Each request uses one Pro search query.

Instructions

GPT-5.4 — OpenAI's versatile model. 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?

Annotations are missing, so description carries full burden. Only behavioral note is cost (1 PRO SEARCH QUERY). No disclosure of side effects, auth, or other traits.

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?

Two short sentences, no fluff. Could be more informative without added length, but structure is acceptable.

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

Completeness1/5

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

Given 3 parameters and an output schema, description is severely incomplete. No return info, no parameter details, no usage context.

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 coverage is 0%, and description adds no information about parameters (query, source_focus, conversation_id). Agent cannot infer their meaning or usage.

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

Purpose2/5

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

Description identifies the model (GPT-5.4) but does not state the action the tool performs (e.g., query, generate). Sibling tools suggest it is a query tool, but the description 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 Guidelines1/5

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

No guidance on when to use this tool versus siblings like pplx_query or pplx_smart_query. No when-not or alternatives 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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