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call_tool

Destructive

Executes a Langflow operation by exact name and arguments from get_tool_schema, allowing workflow actions that may modify or delete data under Langflow-enforced permissions.

Instructions

Execute a Langflow operation using its exact name and arguments from get_tool_schema. May change or delete data; permissions are enforced by Langflow. Does not retry writes.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "name": "<name>",
      "arguments": "<arguments>"
    },
    "name": "call_tool"
  }
}

Input Schema

NameRequiredDescriptionDefault
nameYes
argumentsYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv4.13.1

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already declare destructiveHint=true, openWorldHint=true and idempotentHint=false, so the safety profile is known. The description adds real context beyond that: permissions are enforced downstream by Langflow (so failures may be auth-related, not argument-related) and writes are not retried (the caller owns retry/idempotency). It omits error surfacing and whether partial failures are possible.

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?

Three short clauses, front-loaded with the action and the sourcing constraint. 'May change or delete data' partly restates destructiveHint, but it is a cheap and useful reinforcement rather than padding; nothing else is wasted.

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?

For an open-world generic dispatcher with a free-form nested arguments object and no output schema, the definition covers input sourcing and mutation risk but says nothing about what comes back (presumably the underlying operation's result), how errors are reported, or how ambiguous operation names are resolved. Adequate to invoke correctly, incomplete for interpreting results.

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

Parameters4/5

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

Schema description coverage is 0% and both parameters are bare 'string'/'object' with no documentation, so the description carries the full burden. It does so reasonably: 'name' is the exact operation name obtained from get_tool_schema, and 'arguments' is that operation's argument set — enough to tell an agent where to source valid values, though it does not say what happens on name mismatch or extra/missing argument keys.

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 ('Execute') and resource ('a Langflow operation') and pins the identifier source ('exact name ... from get_tool_schema'), which separates it from the sibling get_tool_schema that only retrieves schemas. It stops short of naming the sibling as an explicit alternative or describing what kind of operations are reachable, so it is clear but not maximally distinguishing.

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

Usage Guidelines4/5

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

The phrase 'from get_tool_schema' establishes a concrete prerequisite workflow: fetch the schema first, then call this tool with the exact name and arguments. It also signals the risk profile ('May change or delete data'), but it never states when not to use it or points at search_tools for discovering operation names.

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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