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FlowState by DialectForge

FlowState by DialectForge

Official

manage_handoffs

Save mid-task progress and next steps as notes so another AI can continue, then mark notes picked up or list open notes per project.

Instructions

Notes from one AI to the next. leave: when you must stop mid-task, save where_i_was and next_step; the next start_here shows it after the hard rules. pickup: once you continue from a note, mark it so it stops showing. list: open notes. Not a session summary and not a todo. Adds or marks notes; never deletes. Returns the note or {notes}.

Input Schema

NameRequiredDescriptionDefault
limitNolist: max notes. Default 20.
modelNoModel name if known. Never guess.
actionYesThe operation; see the tool description.
projectYesProject name or id. Required.
next_stepNoleave: the next step. Max 500 chars.
handoff_idNopickup: the note id.
where_i_wasNoleave: progress so far. Max 1,000 chars.
include_picked_upNolist: include picked-up notes.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed4 schema fields changedv2.4.3
    • changedInput schema / properties / handoff_id / description
      Previous value: -"pickup: the note's id (H<id> in the brief)."New value: +"pickup: the note id."
    • changedInput schema / properties / model / description
      Previous value: -"Your model name if you know it. Never guess."New value: +"Model name if known. Never guess."
    • changedInput schema / properties / next_step / description
      Previous value: -"leave: the very next step. Max 500 chars."New value: +"leave: the next step. Max 500 chars."
    • changedInput schema / properties / where_i_was / description
      Previous value: -"leave: what you did and how far it got. Max 1,000 chars."New value: +"leave: progress so far. Max 1,000 chars."
  2. Addedv2.1.0

TDQS

A4.4/5.0
Behavior4/5

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

Beyond annotations, it discloses that the tool 'Adds or marks notes; never deletes', reinforcing the destructiveHint=false annotation, and it explains lifecycle behavior: the next start_here shows the note after hard rules, and picked-up notes stop showing. It also gives return shapes ('Returns the note or {notes}'), though it does not discuss permissions, limits, or idempotency explicitly.

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 short, front-loaded, and segmented by action. Every sentence contributes either identity, action semantics, exclusion, or return behavior, with no redundant 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?

For an 8-parameter multi-action tool with no output schema, the description covers purpose, per-action behavior, exclusions, lifecycle interaction with start_here, and basic return shape. It does not mention project scoping or the optional limit/model/include_picked_up parameters, but those are fully documented in the schema, so the description is largely 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 the schema already documents each parameter including action, project, handoff_id, where_i_was, next_step, limit, model, and include_picked_up. The description adds action-level semantics (what leave/pickup/list do) but does not add extra parameter details beyond that, making 3 the appropriate baseline.

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 opens with a concrete identity ('Notes from one AI to the next') and then defines each action (leave, pickup, list) in operational terms. It explicitly distinguishes itself from sibling concepts: 'Not a session summary and not a todo', which separates it from manage_todos and generic session tools.

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

Usage Guidelines5/5

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

It gives explicit when-to-use guidance per action: 'leave: when you must stop mid-task', 'pickup: once you continue from a note', and 'list: open notes'. It also states exclusions ('Not a session summary and not a todo') and the relationship with the sibling start_here, leaving little inference required.

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