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agentic_assist_stream

Streams agentic assistance to build or edit Langflow flow components, using a flow ID and optional component, field, or model settings.

Instructions

Request streaming agentic assistance for building or editing a flow component.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
flow_idYesFlow ID
providerNoOptional provider
field_nameNoOptional target field name
model_nameNoOptional model name
session_idNoOptional session ID
input_valueNoUser input/instruction (server-configured limit)
max_retriesNoMaximum retries (1-5)
component_idNoOptional target component ID
history_limitNoOptional assistant history limit (0-100)
iterations_limitNoMaximum assistant iterations (1-200)

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv4.12.2

TDQS

C2.9/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden. 'Streaming' is the only behavioral signal; nothing says whether the call mutates the flow, how the streamed output arrives, how session_id resumes a session, or what retry/iteration limits imply about side effects.

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?

A single front-loaded sentence with no wasted words. It is efficient, though its brevity reflects under-specification for a 10-parameter streaming tool rather than pure conciseness.

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?

For a complex 10-parameter, no-annotation, no-output-schema tool, the description is far too thin. It omits how streaming results are consumed, session semantics, mutation effects, and how it differs from agentic_assist/agentic_execute.

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 description coverage is 100%, so all 10 parameters are documented in the schema and the baseline is 3. The description adds no meaning beyond the schema for any parameter (provider, session_id, iterations_limit, etc.).

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?

States a clear verb (Request) and resource (streaming agentic assistance) scoped to building/editing a flow component. However, it does not distinguish itself from the closely related siblings agentic_assist, agentic_assist_run, or agentic_execute, so an agent must guess which agentic tool to pick.

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 phrase 'for building or editing a flow component' hints at context but gives no when-to-use criteria, prerequisites, or named alternatives. With four sibling agentic_* tools in the list, the absence of routing guidance is a real gap.

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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