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FoundZiGu

ragflow-mcp-server-fixed

by FoundZiGu

Chat

chat

Ask questions within an existing RAGFlow chat session to retrieve context-aware answers from your datasets.

Instructions

Ask a question in a created RAGFlow chat session.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
session_idYesSession id returned by create_chat
questionYesQuestion
streamNoUse RAGFlow streaming first. Default true.
Behavior2/5

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 only states the tool's function without revealing traits like error handling, streaming behavior, or authentication needs. The minimal text does not sufficiently inform the agent about side effects or constraints.

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 a single, efficient sentence with no wasted words. However, it is so brief that it sacrifices useful context, placing it slightly below a perfect score.

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 lack of output schema and annotations, the description should compensate but does not. It omits details about return values, error states, or streaming nuances, leaving the agent underinformed for a chat interaction tool.

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

Parameters3/5

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

Schema coverage is 100%, providing descriptions for all three parameters. The tool description adds no extra meaning beyond the schema, so it meets the baseline but does not enhance understanding.

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 specifies the action ('Ask a question') and the resource ('created RAGFlow chat session'), making the tool's purpose evident. However, it does not explicitly differentiate from sibling tools like 'ask_configured_chat' or 'create_chat', which slightly diminishes clarity.

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 description provides no guidance on when to use this tool versus alternatives, such as 'ask_configured_chat' or 'create_chat'. It also lacks any prerequisites or exclusions, leaving the agent without context for appropriate invocation.

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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