Skip to main content
Glama

kopern_create_pipeline

Create multi-step agent pipelines: chain agents sequentially with configurable input sources, roles, and error handling.

Instructions

Create a multi-step pipeline on an agent. Steps chain agents sequentially with configurable input mapping.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesPipeline name
stepsYesPipeline steps
agent_idYesThe parent agent ID
descriptionNoPipeline description
Behavior3/5

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

Annotations already indicate mutation (readOnlyHint=false) and non-idempotency. The description adds detail on how steps chain and input mapping, but no additional behavioral traits like limits, idempotency considerations, or what happens on failure.

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?

A single, well-constructed sentence that front-loads the core action. Every word adds value; no filler or redundancy.

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 absence of an output schema and the tool's moderate complexity, the description covers key aspects: what is created, how steps work, and input mapping. Lacks details on return values or validation, but adequate for the domain.

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 has 100% description coverage for all parameters. The description provides minimal additional context beyond the schema, merely framing the pipeline as sequential and configurable. No new parameter-level insights.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action 'Create' and the resource 'multi-step pipeline on an agent', with elaboration on sequential chaining and configurable input mapping. It distinguishes itself from sibling tools like 'kopern_run_pipeline' and 'kopern_create_agent'.

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?

No explicit guidance on when to use this tool versus alternatives, but the purpose is implied (creation vs. execution or other operations). The description does not mention prerequisites or contrasting siblings.

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/berch-t/kopern'

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