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ecidk

Research Insights MCP Server

by ecidk

sync_to_jira

Convert high-frequency feature requests into Jira tickets to streamline project management and prioritization.

Instructions

Create Jira tickets from high-frequency feature requests

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
feature_requestsYes
project_keyNoPROD
issue_typeNoFeature Request
auto_populateNo
Behavior2/5

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

No annotations exist, so the description must carry behavioral disclosure. It implies mutation (creating tickets) but does not state idempotency, duplication behavior, authentication requirements, or side effects. The agent cannot assess safety or impact.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The single sentence is concise and front-loaded with the core action, but it omits necessary details at the expense of brevity. Conciseness alone does not compensate for insufficient information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness1/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given 4 parameters (including a nested object) and no output schema, the description is severely incomplete. It fails to cover parameter behavior, return values, expected outcomes, or edge cases, leaving the agent with critical gaps.

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

Parameters1/5

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

Schema description coverage is 0%, yet the description adds no parameter explanations. 'feature_requests' and 'auto_populate' (a nested object) are left entirely ambiguous. The agent lacks the semantic understanding needed to fill parameters correctly.

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 specific action (create Jira tickets) and the source (high-frequency feature requests). It distinguishes from sibling tools which focus on analysis or research, as this tool is an export/sync action to an external system.

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?

No guidelines on when to use this tool versus alternatives. The description does not mention prerequisites, when to avoid using it, or specify any conditions that trigger its use. The agent has no context for appropriate invocation.

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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