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balakumardev

Perplexity MCP

by balakumardev

follow_up

Continue a previous conversation by sending a follow-up query with the backend UUID from the prior response, returning the answer and updated UUID.

Instructions

Send a follow-up query to continue a previous conversation.

Args: query: The follow-up query string backend_uuid: The backend_uuid from the previous response mode: Search mode - 'auto', 'pro', 'reasoning', or 'deep_research' model: Specific model to use (see search tool for options) answer_only: If True, return only answer and backend_uuid. If False, also include sources and related_queries.

Returns: Dictionary with 'answer' and 'backend_uuid'. If answer_only=False, also includes 'sources' and 'related_queries'.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes
backend_uuidYes
modeNoauto
modelNo
answer_onlyNo
Behavior3/5

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

No annotations are provided, so description carries burden. It describes input/output but does not disclose side effects, permissions, or rate limits.

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?

The description is concise and well-structured, including param docs and return info, with no wasted words.

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

Completeness3/5

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

It explains return values despite no output schema, but lacks usage guidelines and behavioral transparency, leaving gaps for a tool with multiple parameters.

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

Parameters5/5

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

Despite 0% schema description coverage, the description explains each parameter (query, backend_uuid, mode, model, answer_only) with context beyond their types and titles.

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

Purpose5/5

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

The description clearly states it sends a follow-up query to continue a conversation, distinguishing it from sibling tools like search (new queries) and get_thread (retrieving threads).

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

Usage Guidelines3/5

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

The description implies usage when you have a backend_uuid from a previous response, but does not explicitly state when to use alternatives or provide exclusion criteria.

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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