Skip to main content
Glama
codeocean

Code Ocean MCP Server

Official
by codeocean

get_capsule_app_panel

Retrieve app panel information for a specific Code Ocean capsule using its ID to access computational resources and workflow details.

Instructions

Retrieve app panel information for a specific capsule by its ID.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
capsule_idYes
versionNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
generalNoGeneral information about the App Panel.
resultsNoResult files to display after computation.
processesNoPipeline processes and their App Panels.
categoriesNoCategories for organizing App Panel parameters.
parametersNoParameters for the App Panel.
data_assetsNoList of data assets used in the App Panel.
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states 'Retrieve' implying a read operation, but doesn't specify permissions, rate limits, or what 'app panel information' entails (e.g., format, size, or if it's mutable). This is inadequate for a tool with potential complexity.

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 a single, efficient sentence that directly states the tool's purpose without unnecessary words. It's appropriately sized and front-loaded, making it easy to parse quickly.

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 the tool has an output schema (which handles return values), the description's minimalism is somewhat acceptable. However, with no annotations and low parameter coverage, it lacks context on behavior and usage, making it incomplete for safe and effective tool invocation.

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 0%, so the schema provides no parameter descriptions. The description mentions 'by its ID' for 'capsule_id', adding minimal context. It doesn't explain the 'version' parameter or its default/null behavior, leaving gaps in understanding.

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 the action ('Retrieve') and resource ('app panel information for a specific capsule'), making the purpose understandable. However, it doesn't differentiate from sibling tools like 'get_capsule' or 'search_capsules', which might retrieve different capsule-related information, so it doesn't fully distinguish itself.

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 description provides no guidance on when to use this tool versus alternatives. It doesn't mention sibling tools like 'get_capsule' or 'search_capsules', nor does it specify prerequisites or exclusions, leaving the agent to infer usage context.

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/codeocean/codeocean-mcp-server'

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