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NGS360

NGS360 MCP Server

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by NGS360

get_job_log_paginated

Retrieve paginated log output for a batch job. Control line count, pagination offset, and reading direction (start or end).

Instructions

Get paginated log output for a batch job.

Args: job_id: The job UUID limit: Number of log lines to return (1-10000) next_token: Pagination token from previous response start_from_head: Start from beginning (true) or end (false)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
job_idYes
next_tokenNo
start_from_headNo
Behavior3/5

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

Without annotations, the description partially discloses behavior: it explains pagination via parameters but does not mention response format, error handling, permissions, or rate limits.

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 a concise docstring with a clear header and argument list. It contains no unnecessary words, but the structure is standard Python docstring rather than exceptionally creative.

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?

The description covers core functionality and parameter usage, but lacks description of output format or error handling. Given the complexity of paginated logs, it is adequate but not fully comprehensive.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 0% schema coverage, the description compensates fully by explaining each of the 4 parameters: job_id, limit (with range), next_token (pagination token), and start_from_head (direction).

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 states 'Get paginated log output for a batch job,' which includes a specific verb, resource, and the pagination aspect that distinguishes it from the sibling tool 'get_job_log' (presumably non-paginated).

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?

The description implies pagination is for batch jobs, but it does not explicitly state when to use this tool versus the non-paginated 'get_job_log' sibling or provide guidance on alternatives.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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