Skip to main content
Glama
sjk4425

ncloud-mcp-server

by sjk4425

ncloud_dataflow_get_job_executions

Read-only

Retrieve execution history for a specific Data Flow job by providing the job ID. Filter results by page and size to navigate through execution records.

Instructions

Get execution history of a specific Data Flow job.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNoPage number (0-based)
sizeNoPage size
jobIdYesJob ID to query executions
Behavior3/5

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

Annotations provide readOnlyHint: true, which the description does not contradict. However, the description adds no behavioral context beyond stating 'execution history', such as pagination behavior or sorting. With annotations covering read-only, a score of 3 is appropriate.

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?

Single sentence, front-loaded with verb and object, no wasted words. Earns its place.

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 3 parameters, no output schema, and no nested objects, the description is brief but sufficient. It implies a list of executions via 'execution history' and the plural tool name. Could mention return format but not strictly necessary.

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% with all three parameters (jobId, page, size) already described in the schema. The tool description adds no additional parameter meaning beyond the schema, so baseline 3 applies.

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 verb 'Get' and resource 'execution history of a specific Data Flow job'. It distinguishes from sibling tools like 'ncloud_dataflow_get_job_execution' (singular) and 'ncloud_dataflow_get_workflow_executions' by specifying 'execution history' for a job.

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 vs alternatives such as 'ncloud_dataflow_get_job_execution' or 'ncloud_dataflow_list_jobs'. No context about when to use or when not to use is 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/sjk4425/ncloud-mcp-server'

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