Skip to main content
Glama

get_a2a_agent_card

Retrieve the A2A agent card for a Langflow flow. Requires server-side A2A enablement and the flow ID as input.

Instructions

Get the A2A agent card (.well-known/agent-card.json) for a flow (Langflow 1.11.0). Requires server-side A2A enablement.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
flow_idYesFlow ID
Behavior3/5

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

With no annotations, the description carries full behavioral disclosure burden. It states the tool gets a resource (read operation) and notes a requirement, but does not disclose side effects, error conditions (e.g., invalid flow_id, disabled A2A), permissions beyond enablement, or response format. Adequate for a simple read tool but could be more transparent.

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?

The description is exceptionally concise: two sentences, no filler. The first sentence states the purpose directly, and the second adds a critical prerequisite. Every word serves a purpose.

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

Completeness4/5

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

Given the tool's simplicity (one required parameter, no output schema, no annotations), the description is largely complete. It covers purpose, version, and a prerequisite. It could hint at error handling (e.g., what happens if not enabled) or the return format (JSON), but overall it provides sufficient context for an agent to decide and use the tool.

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?

The input schema has 100% coverage with 'flow_id' described as 'Flow ID'. The description adds context by linking the flow to Langflow 1.11.0 and specifying the card's endpoint path, which goes beyond the schema's minimal description. This aids the agent in understanding the parameter's role.

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 states it retrieves the A2A agent card (.well-known/agent-card.json) for a specific flow, with the verb 'Get' and resource identification. It also specifies the Langflow version, aiding context. However, it does not explicitly differentiate from sibling tools like list_a2a_agents or invoke_a2a_jsonrpc.

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 provides a prerequisite ('Requires server-side A2A enablement'), which implies when the tool can be used. However, it lacks explicit guidance on when to use this tool versus alternatives, such as when to get a list of agents or invoke JSON-RPC instead. No when-not-to-use or alternative names are given.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/nobrainer-tech/langflow-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server