Skip to main content
Glama

pipeline

Execute automated sequences on notebooks and list available workflow templates.

Instructions

Manage and execute multi-step notebook pipelines.

Actions:

  • run: Execute a pipeline on a notebook

  • list: List all available pipelines (builtin and user-defined)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
actionYesOperation to perform (run, list)
notebook_idNoTarget notebook UUID (required for action=run)
pipeline_nameNoPipeline name (required for action=run, e.g. "ingest-and-podcast")
input_urlNoURL variable for pipelines that need it (replaces $INPUT_URL)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations are provided, so the description carries full burden. It lists the 'run' action but does not disclose whether execution is synchronous, whether it is destructive, permission requirements, or what side effects occur. The 'list' action is benign but behavioral details are missing.

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?

Description is brief: two sentences plus a bullet list. It front-loads the purpose and efficiently lists actions. Every sentence adds value without redundancy.

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?

Given 4 parameters and an output schema, the description covers the basic actions and required parameters. However, it omits execution behavior (synchronous/asynchronous), error conditions, and prerequisites. The output schema exists but the description does not leverage it to explain return values.

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 baseline is 3. The description does not add extra meaning beyond the schema; it merely references the action names. No parameter-specific guidance is provided beyond the schema descriptions.

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?

Description clearly states 'Manage and execute multi-step notebook pipelines' and enumerates actions (run, list), providing a specific verb+resource scope. While it does not explicitly distinguish from siblings like 'batch', the resource is well-defined and the actions are unambiguous.

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?

Description implies usage for pipeline management but provides no guidance on when not to use or alternatives among siblings (e.g., batch for batch operations). No explicit context on prerequisites or when to prefer this over other tools.

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/jacob-bd/notebooklm-mcp-cli'

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