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yingcaihuang

meegle-cli-mcp

by yingcaihuang

Create Work Item

workitem_create
Destructive

Create a work item in Meegle by specifying type and fields. Use it to add stories, issues, or other items after looking up valid field keys.

Instructions

Create a work item in Meegle. Use workitem_meta_fields first to discover valid field_key values. Complex array or object field values are automatically JSON-stringified to match meegle CLI expectations. This tool defaults to dry_run=true for safety.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
fieldsYesList of fields to create on the work item.
dry_runNoLeave true to preview the normalized request without executing creation. Set false to really create.
project_keyNoProject key. Always pass explicitly in multi-project usage; resolve it with project_search first when missing.
work_item_idNoOptional resource template instance ID.
work_item_typeYesType key such as story or issue.
ignore_requiredNoSet true only when intentionally bypassing backend required-field validation.
ignore_role_calculateNoSet true only when intentionally bypassing backend role calculation.
Behavior4/5

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

Discloses that complex array/object values are automatically JSON-stringified and that dry_run defaults to true for safety. These go beyond the annotations (which already indicate destructive potential) and add useful behavioral context for safe execution.

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?

Three sentences, each earning its place: purpose, prerequisite guidance, and safety default. No redundancy or filler.

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 the tool's complexity (7 params, no output schema) and the richness of the input schema, the description covers the essential usage steps and safety behavior. It doesn't discuss return values or error cases, but the schema and annotations mitigate the gap, making it adequately complete.

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?

The schema already provides detailed descriptions for all parameters (100% coverage), including the JSON-stringification behavior for field_value. The description adds little beyond the schema except the reference to workitem_meta_fields for field_key discovery, which is a minor addition.

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 explicitly states 'Create a work item in Meegle' with a specific verb and resource. It clearly differentiates from sibling tools like workitem_get, workitem_update, and workitem_query by focusing on creation.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Provides clear context by directing users to use workitem_meta_fields for valid field_key discovery and mentions the dry_run default as a safety measure. However, it does not explicitly name alternatives or exclusion scenarios, so it misses the top score.

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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