Skip to main content
Glama

jpi_list_components

Lists all reusable building blocks in the JPI job scheduling system for reference in job creation and resource management.

Instructions

List all components in the JPI system. Components are reusable building blocks that can be referenced by jobs.

Input 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 the full burden of behavioral disclosure. While 'List all components' implies a read-only operation, the description doesn't address critical behavioral aspects like whether this requires authentication, what format the output takes (e.g., pagination, filtering capabilities), or any rate limits. It only adds minimal context about what components are.

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?

The description is appropriately concise with two sentences that each add value. The first sentence states the core purpose, and the second provides helpful context about what components are. There's no wasted language or unnecessary elaboration.

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 a simple listing tool with no parameters and no output schema, the description provides adequate basic information about what's being listed. However, without annotations and with many similar sibling tools, it lacks sufficient behavioral context and usage guidance. The description is complete enough for basic understanding but leaves gaps in operational details.

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 tool has 0 parameters with 100% schema description coverage, so the schema fully documents the absence of parameters. The description appropriately doesn't discuss parameters, which aligns with the schema. A baseline of 4 is appropriate for zero-parameter tools when the description doesn't need to compensate for schema gaps.

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 verb ('List') and resource ('all components in the JPI system'), and provides additional context about what components are ('reusable building blocks that can be referenced by jobs'). However, it doesn't explicitly differentiate from sibling tools like 'jpi_get_component' or 'jpi_list_templates', which would be needed for a score of 5.

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. With many sibling tools like 'jpi_get_component' (for retrieving a specific component) and 'jpi_list_templates' (for listing templates), the agent receives no explicit or implied direction on when this listing tool is appropriate versus other retrieval or listing operations.

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/etep82/jpi-mcp'

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