Skip to main content
Glama

analyze_jira_automation

Analyzes a Jira Automation rule and creates a migration plan for ServiceNow, detailing trigger, conditions, actions, and manual steps.

Instructions

Fetches and analyses a specific Jira Automation rule and produces a migration plan for ServiceNow. Returns: trigger type, conditions, actions, what can be automated vs manual. After calling this, present the plan and ask the user to confirm before building.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
rule_idYesJira Automation rule ID (from list_jira_automations)
sn_tableYesServiceNow table this automation will operate on (e.g. incident, problem)
Behavior2/5

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

No annotations are provided, so the description must carry the full burden of behavioral transparency. It implies read-only analysis ('fetches and analyses'), but does not explicitly state if it has side effects, requires specific permissions, or has any rate limits. The lack of disclosure is a significant gap for a tool that produces a plan for building.

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 two short sentences, front-loaded with the core purpose, then a clear list of return fields, followed by an actionable instruction. Every sentence earns its place with no redundancy.

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?

For a tool with 2 parameters and no output schema, the description covers purpose, return fields (trigger type, conditions, actions, automation vs manual), and a post-call workflow. It could be improved by clarifying the output structure or error handling, but overall it is sufficiently complete for an agent.

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?

Both parameters have descriptions in the schema (100% coverage). The description adds useful context, especially for rule_id by noting it comes from a sibling tool (list_jira_automations), and provides examples for sn_table. This adds meaning beyond the schema alone.

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 action (fetches and analyses), resource (specific Jira Automation rule), and output (migration plan for ServiceNow). It distinguishes from sibling analysis tools by specifying the context of Jira Automation to ServiceNow migration.

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 provides post-call workflow instruction ('present the plan and ask for confirmation before building'), which implies when to use this tool in a sequence. However, it lacks explicit guidance on when to use this versus alternative analysis tools (e.g., analyze_flow, analyze_dependencies) or when not to use it.

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/pinnintisagarSB/ServiceNow-Dev-MCP'

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