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invoke_a2a_jsonrpc

Invoke a Langflow flow through the A2A JSON-RPC endpoint using a flow ID, method, and params; validation runs server-side.

Instructions

Invoke a flow via the A2A JSON-RPC endpoint (Langflow 1.11.x). The JSON-RPC envelope is a passthrough; validation lives server-side.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idNoJSON-RPC request ID
methodYesJSON-RPC method name
paramsNoJSON-RPC params (object or positional array)
flow_idYesFlow ID
jsonrpcNoJSON-RPC version (e.g. "2.0")

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv4.11.0

TDQS

B3.3/5.0
Behavior3/5

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

With no annotations, the description carries the full burden, and it does disclose one genuinely useful trait: the JSON-RPC envelope is a passthrough and validation happens server-side, telling the agent not to expect or attempt client-side validation. It still omits whether invoking a flow has side effects/cost, auth requirements, error semantics, and whether the call is synchronous or streaming.

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

Conciseness5/5

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

Two short sentences, zero waste, and the core action is front-loaded before the behavioral caveat. Nothing redundant with title or schema.

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?

There is no output schema and no annotations, so the description must carry usage and behavior, and it only partially does. The version scoping is a nice touch, but for an execution-capable tool it leaves out call selection guidance versus siblings and side-effect/auth details.

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 the five parameters (id, method, params, flow_id, jsonrpc) are already documented structurally, making 3 the baseline. The description adds only the marginal note that the envelope is passed through untouched, implying params/fields are forwarded verbatim.

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 specific verb ("Invoke") and resource ("a flow via the A2A JSON-RPC endpoint"), and names the protocol/version, so an agent knows this is the raw A2A JSON-RPC path rather than a normal flow runner. It does not, however, explicitly contrast itself with the many sibling flow-invocation tools (run_flow, run_flow_advanced, predict_flow), so differentiation is 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 scoping hint is the version tag "Langflow 1.11.x". There is no statement of when to choose this over run_flow/predict_flow/run_workflow, no prerequisite/auth requirements, and no when-not guidance.

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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