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list_tasks

List tasks from Markdown notes and Kanban boards with their IDs, text, column, and done status. Filter by column, note path, or pending only to review what needs work.

Instructions

Lists the tasks with their id, text, board column and whether they are done.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
columnNoOptional: only the tasks in this column (its id, such as todo, doing or done).
note_pathNoOptional: only the tasks of this note.
pending_onlyNoIf true, leaves out the finished tasks.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed3 schema fields changedv0.9.5
    • changedInput schema / properties / column / description
      Previous value: -"Opcional: solo las de esta columna (su id, como todo, doing o done)."New value: +"Optional: only the tasks in this column (its id, such as todo, doing or done)."
    • changedInput schema / properties / note_path / description
      Previous value: -"Opcional: solo las de esta nota."New value: +"Optional: only the tasks of this note."
    • changedInput schema / properties / pending_only / description
      Previous value: -"Si es true, omite las tareas hechas."New value: +"If true, leaves out the finished tasks."
  2. First observedv0.1.0

TDQS

B3.2/5.0
Behavior3/5

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

No annotations are supplied, so the description carries the full burden. It does disclose the shape of each returned task, which is genuinely useful for a tool with no output schema, but it says nothing about read-only safety, result limits, pagination, or ordering, leaving real behavioral gaps.

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?

A single front-loaded sentence with no filler; the field enumeration earns its place because there is no output schema. It is efficient rather than padded.

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 simple read-only, zero-required-parameter list tool with full schema coverage, describing the returned fields adequately compensates for the absent output schema. Missing usage routing and pagination notes keep it from being fully 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?

Schema description coverage is 100%, so all three optional filters (column, note_path, pending_only) are already documented in the schema itself. The description adds no syntax, format, or combination semantics beyond that, which is the expected baseline when the schema does the heavy lifting.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

Specific verb+resource ('Lists the tasks') plus the returned fields (id, text, column, done status), which lets an agent distinguish it from get_kanban and list_notes. It stops short of explicitly contrasting itself with the sibling listing tools, so it is clear but not fully differentiated.

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 when-to-use guidance, no mention of alternatives (get_kanban, search_notes, list_notes), and no statement of prerequisites or context. The only filtering hints live in the schema, not the description.

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