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multidimensionalcats

kanban-mcp

export_project

Export project data in JSON, YAML, or Markdown, with filtering by item type, status, or ID, and options to include tags, relationships, metrics, updates, and epic progress.

Instructions

Export project data in JSON, YAML, or Markdown format.

Args: format: Output format - 'json', 'yaml', or 'markdown' item_type: Filter by type (issue, feature, epic, todo, diary, question) status: Filter by status (backlog, todo, in_progress, review, done, closed) item_ids: Comma-separated item IDs to export (overrides type/status filters) include_tags: Include tag data for each item (default: True) include_relationships: Include relationship data include_metrics: Include calculated metrics (lead_time, cycle_time, etc.) include_updates: Include project updates include_epic_progress: Include epic progress stats detailed: For markdown, show detailed item info instead of tables limit: Maximum items to export (default: 500)

Returns: Dict with success, format, content, and item_count

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNolimit parameter
formatNoformat parameter
statusNostatus parameter
detailedNodetailed parameter
item_idsNoitem_ids parameter
item_typeNoitem_type parameter
include_tagsNoinclude_tags parameter
include_metricsNoinclude_metrics parameter
include_updatesNoinclude_updates parameter
include_epic_progressNoinclude_epic_progress parameter
include_relationshipsNoinclude_relationships parameter
Behavior4/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It explains the return structure (Dict with success, format, content, item_count) and parameter overrides (item_ids overrides type/status filters), but it does not explicitly state whether the operation has side effects, although exporting implies read-only behavior.

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?

The description is a structured list of parameters and a Returns line, containing no filler or redundant information. It is appropriately sized for 11 parameters and clearly front-loads the tool's purpose.

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?

The description covers all 11 parameters with meaningful semantics and explains the return dict, compensating for the lack of an output schema. It does not discuss error cases or edge behaviors, but for an export operation that is likely acceptable.

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?

The schema descriptions are minimal placeholders (e.g., 'limit parameter'), so the description adds essential meaning for every parameter, including format options, filter semantics, overrides, and defaults (e.g., limit default 500). This goes well beyond the schema and is vital for correct invocation.

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 uses the specific verb 'Export' with a clear resource ('project data') and output formats ('JSON, YAML, or Markdown'). This clearly distinguishes it from sibling tools that retrieve or modify individual items, making the function immediately understandable.

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 states what the tool does but provides no explicit guidance on when to use it over alternatives or when not to use it. No exclusions or references to sibling tools like project_summary or get_updates are given, so usage context is only implied by the export action.

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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