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hearthsmith

A pixel-art blacksmith who lives on your desktop, nags you about your tasks, watches your terminal panes, and hands work to your coding agents.

Formerly forge. Renamed because nobody can find a project called forge.

Harness-agnostic: hearthsmith owns the task store (SQLite) and exposes it over MCP, so Claude Code, dsh, Codex, OpenClaw or a shell are all just clients. hyperpanes is first-class: the pet reads what you're doing from your panes, nags you in the relevant pane, and can hand a task to a worker pane instead of nagging.

timer ─▶ hearthsmithd heartbeat
          ├─ T0  sense    hyperpanes /state + /projects + pane screens, tasks.md, the store   (no model)
          ├─ T1  decide   Jev typed decision: nag? which task? urgency? channel?              (~400ms / ~$0.00002)
          ├─ T2  compose  Ornith-1.5-9B on a local Ollama writes the blacksmith's line        (free, private)
          ├─ T3  fallback OpenRouter chat model when the local box is asleep
          └─ deliver      notify-send | hyperpanes pane message | delegate to a worker queue
                          + writes sprite.json for the avatar renderer
                          + says it out loud in his own voice (AuK clone, see Voice)

Every stage degrades: no hyperpanes → store-only state; decider down → rule heuristics; Ollama down → OpenRouter → template. The loop never goes silent because a dependency did.

Install

uv sync && uv pip install -e .
hearthsmith add "temper the blade" --due 2026-09-20T18:00 --project hearthsmith
hearthsmith state            # the exact paragraph the decider sees
hearthsmithd --once --dry    # decide + compose, deliver nothing

Tell him a reminder the way you'd say it — "remind me to call the vet friday at 5pm", "don't let me forget rent tomorrow morning", "in 20 minutes take the bread out" — and it lands on the ledger as call the vet, due Fri 17:00, and he says the time back. Dates are read locally (src/hearthsmith/when.py, no model); a day with no time is due by 18:00 that day. Only when you name no time at all does the decider guess one. The ledger's add box reads the same words.

Tasks can repeat — "water the plants every monday", "standup every weekday at 9:30", "daily vitamins at 9pm", "pay rent monthly", or @every(mon,thu) / @every(2 weeks) in tasks.md and the ledger. Ticking one off, however it's ticked (ledger, CLI, MCP, "that's done"), puts the next occurrence on the ledger; done three days late, the next one is still ahead of you rather than a backlog of three. And tasks can have steps: ledger → Add step…, hearthsmith add --parent <id>, or let the compose model cut it up — "break down the site launch", ledger → Split into steps, hearthsmith split <id>. A task with open steps is nagged about by its next step ("write the copy (step of 'the site launch')"), carrying the task's due date; finishing the task finishes its steps.

Any task can be handed to an agent: ledger → Hand to agent, "give the changelog to an agent", hearthsmith hand <id>, or hearthsmith_tasks_hand over MCP. It goes to a Claude pane already on that work in the task's project if there is one, else a new pane in the project's folder, briefed with the title, notes, open steps and an ask to finish with a short report. The task moves to the ledger's Agents tab. When the agent goes quiet, the heartbeat reads its last reply from Claude Code's session transcript (the screen scrape is the fallback), appends it to the task's notes, puts the task back in Open marked agent reported — check it, and tells you. He doesn't tick it off for you. Take back (or hearthsmith hand --back <id>) stops waiting on the agent.

He remembers you. Tell him how you work — "I don't want nags before 10", "don't nag me about email", "the site launch matters most this week", "weekends are mine", "I work best in the evenings" — and he keeps it. The ones with a plain meaning become rules he obeys: quiet hours tightened (the morning brief waits too), whole weekends off, a topic never nagged about (it stays on the ledger), a focus whose tasks come first until it expires. Everything else goes into what the decider and his voice read. He also notices, from the store: the hours you actually finish things, and tasks nagged about again and again without moving — for those he suggests splitting or handing off instead of repeating himself. "What do you know about me", "forget that…", the ledger's Memory tab (× to forget), hearthsmith memory [add|forget], and hearthsmith_memory_list / _add / _forget over MCP.

When nagging isn't working he offers to do something about it. A task nagged 4 times (nag.stuck_after) with no steps and no movement gets an offer instead of a fifth nag: "'do the taxes' has sat through 5 nags… want me to split it into steps? Or hand it to an agent, or leave it be." He recommends a hand-off when the task belongs to a project with a folder, a split otherwise, and does neither until you answer — "split it", "hand it off", "yes" (his pick) or "no" — to him or from the ledger, where a stuck task is marked and its ⋯ menu has Leave it be. "No" stops the offers and the nags for that task until its date moves or it gets a step. An unanswered offer can come back after three days.

He reads your calendar from its private iCal link — Google's Secret address in iCal format, Outlook's published ICS link, iCloud's public calendar link, Proton's share link, or a local .ics. Put it in ~/.config/hearthsmith/env as HEARTHSMITH_CALENDAR=<url> [<url>…] (the link is a password to your calendar, so it lives with the other secrets and never in a log). Repeating meetings, exceptions and timezones are expanded; feeds are fetched every 15 minutes and the last copy is used when a fetch fails. He gives a heads-up 10 minutes before each meeting, holds nags while you're in one, knows the next event when deciding what to say, puts today's meetings in the morning brief and tomorrow's in the evening wrap, and shows the rest of today at the top of the ledger. Ask him "what's on my calendar tomorrow" or "when's my next meeting"; hearthsmith cal, hearthsmith_calendar over MCP. Settings under calendar:.

Twice a day he tells you where things stand. The morning brief (from 08:30): what landed overnight — answers, agents that finished or didn't — what's overdue, what's due today, what's stuck, which panes are waiting on a yes. The evening wrap (from 18:30): what you struck off, what's still open, what's due tomorrow; an evening with nothing to say is skipped. Each comes once a day, on the sprite and in his voice, and waits until you've touched the keyboard or mouse in the last two minutes (GNOME's idle monitor) so it greets you rather than an empty room. The facts come from the store with no model; the compose model only phrases them, a template when it's down. On demand: "brief me" / "what's on my plate", Brief me in his menu, hearthsmith brief [morning|evening], or hearthsmith_brief over MCP. Times in brief: config.

Once a week (Friday from 16:00, brief.weekly_day / brief.weekly) comes the weekly review: how much you struck off and how much of it late, the busiest day, how the focus went, what the agents took and brought back, what's still overdue, what's been carried all week or nagged about for nothing (with what to do about it), then next week — what's due and how full the calendar is — ending with "what's the focus next week?". Answer "focus on the launch next week" and it's set through next Sunday. Same delivery as the daily brief; on demand with "how did my week go", Weekly review in his menu, hearthsmith brief weekly, or hearthsmith_brief with kind weekly.

Talk to him out loud. Press Super+J, say it, stop talking: he hears it, does it, and answers aloud. Press it while he's talking and he stops to listen; talk over him and he stops too. Conversation mode (his right-click menu, or hearthsmith-ear talk) keeps him listening after each answer until you say "that's all" or go quiet for 45 seconds. He remembers the last ten minutes of what you said to each other, typed or spoken, so "remind me to order filament Friday" then "actually, move it to Monday at ten" moves that task. Speech is transcribed on your GPU by faster-whisper (large-v3-turbo, ~0.3s for a sentence); audio never leaves the machine, and the mic (ear.source) is open only during a turn or a conversation. The listener is hearthsmith-ear.service; settings under ear:.

Ask him a question and he answers it rather than reporting that a page was opened. One page holds it ("what does the P2S cost") → he opens the page and reads it, a couple of seconds, and says so plainly when the page doesn't actually contain it. It needs comparing sources ("what do people charge on average", "compare X and Y") → he puts an agent on it in its own pane and brings the answer back on the next heartbeat, attached to the task.

Everything he is asked to do is recorded: the goal, which body ran it, whether it worked, the steps he took with their confidence and decision latency, and what the verifier saw. hearthsmith runs lists them, hearthsmith runs <id> shows one. Values you typed into his dialog are stored as "(from you)" — a credential never reaches the history.

Config: ~/.config/hearthsmith/config.yaml (every key optional, see src/hearthsmith/config.py). State: ~/.local/state/hearthsmith/ (hearthsmith.db, sprite.json).

Decide backends (decide.backend)

key

what

status

openrouter

TypeSafe Jev via OpenRouter's Decisions router POST /api/alpha/decisions (model typesafe/jev-1.13) — ~400ms, ~$0.00002/call

default

typesafe

Jev direct at api.typesafe.ai, TYPESAFE_API_KEY

needs early-access key

adapter

MIT system-one-adapter over any OpenAI-compatible chat model (~20s)

last resort

rules

overdue + gap heuristics, no model

always-on fallback

Same Noul / Score / Choice questions in every backend — swapping is a config key.

Related MCP server: task-manager-mcp

MCP

claude mcp add hearthsmith -- $(pwd)/.venv/bin/hearthsmith-mcp

Tools: hearthsmith_tasks_list / _get / _add / _edit / _done / _reopen / _block / _snooze / _delete / _split / _hand, hearthsmith_memory_list / _add / _forget, hearthsmith_calendar, hearthsmith_brief, hearthsmith_nags_recent.

tasks.md

Zero-dep importer. - [ ] title @due(2026-09-20) @every(mon) +project #tag. One-way: file → store; tick the box to mark done. hearthsmith never writes the file.

hyperpanes

Reads ~/.local/state/hyperpanes/control.json for port + token. Nags go through POST /panes/{id}/messages (out-of-band, to the pane's agent). POST /panes/{id}/input is arbitrary command execution and stays off unless hyperpanes.allow_pane_input: true. Delegation enqueues to hyperpanes.delegate_queue (default hearthsmith); drain it with hyperpanes worker --queue hearthsmith -- <cmd>.

Avatar

An always-on-top, click-through GTK window (hearthsmith-sprite.service) that polls sprite.json (state ∈ idle | forge | alert | sleep, text, urgency) and plays the matching frames from a sprite pack sliced out of assets/sheets/. Left click talks to him, drag moves him, middle click opens his ledger, right click is the menu (ledger, size, corner, sheet, nag now, hide).

The ledger is the task list as a window, read straight from the store — a task an agent adds over MCP appears within a couple of seconds. The add box takes the tasks.md syntax (quench @due(2026-09-25T18:00) +forge #hot); tick = done, click a row = its notes and the runs he made for it, ⋯ = edit / snooze / block / delete. Open / Blocked / Done tabs, Ctrl+N to add, Esc to close. python3 -m hearthsmith.sprite.ledger opens it without the avatar. Position and size persist in ~/.config/hearthsmith/avatar.yaml. If the frame clock stalls he remaps himself, then restarts.

While either body works, the avatar narrates it — "clicking One way", "typing Where from? = 'Zurich'" — so a task running in his Chrome is still visible on your desktop. Progress lines skip the typewriter and expire in seconds; a nag still types out and stays.

Work aimed at an agent goes to the right one: panes already in that project are candidates, each described by what it is actually doing (its last few lines, not its label), and the question is whether the assignment continues that work or is a separate concern deserving its own agent. A busy agent is only interrupted when it really is the same thread of work.

Voice

He sounds like a dwarf. assets/voice/dwarf.wav is 16s of WoW dwarf NPC lines (dwarf.txt its transcript); a zero-shot cloner says each line in that voice, so the clip is the voice — drop in another wav (voice.ref + voice.ref_text) and he is someone else. Engines, tried in order (voice.engines), same clip into all of them:

  • pocket — Pocket TTS (Kyutai, 100M, MIT code / CC-BY-4.0 weights). 2 CPU cores, streams PCM straight into pw-play: first sound ~0.2s, RTF ~0.6 here. Clip only, no transcript. Weights are gated — accept terms once at hf.co/kyutai/pocket-tts. Default.

  • auk — AuK (Tencent, MIT) on the HF space. Best clone; ~17 GiB so it can't run here, ~8 free lines/day, ~20s a line.

  • qwen — Qwen3-TTS-0.6B-Base (Apache-2.0) on the GPU, fp32 (fp16 NaNs on Turing), ~RTF 1.5. Kept for A/B.

pocket and qwen live in one warm server: contrib/voice-server (hearthsmith-voice.service, :7861); Qwen unloads after 15 min idle, Pocket stays. Wavs are cached by text+clip+engine under ~/.local/state/hearthsmith/voice/. Playback is pw-play to the default sink, blocking, because hearthsmithd is a oneshot unit. Research behind the pick: docs/research/realtime-clone-tts.md.

forge speak "Oi. That ledger's got rust on it."   # hear him; --no-play prints the wav paths

Suggestions

After a turn, a Claude pane can offer its own next prompt as ghost text in its input box (Claude Code "prompt suggestions"; staged rollout, so it appears sometimes — force with CLAUDE_CODE_ENABLE_PROMPT_SUGGESTION=true; never on the first turn, in plan mode, or while a permission is pending). He watches idle panes for one, and once it has sat unchanged for hyperpanes.suggestion_settle_s (20s — the screen is plain text, so ghost text and a line you are typing look the same) he tells you once: "'canora-sync' wants to: run the tests. Yes or no?", with how many sibling panes in that project are still busy. hearthsmith suggestions lists them. That is hyperpanes.suggestions: observe (or off).

accept goes further, in panes he spawned only (meta.owner=hearthsmith — yours are only ever reported): Jev judges each settled suggestion accept / wait / dismiss / ask, with the pane's last answer and its siblings' state (same meta.goal when the goals org stamps one, else same directory). Accept = Tab, Enter — named keys, no text can go in that way — pressed only if the input line still reads what was judged (the pane regenerates suggestions while they sit). Busy siblings mean wait, no call made. Anything irreversible comes back as dismiss or ask; ask is the fallback when the decider is down. Every verdict is a run (hearthsmith runs).

Panes an agent org spawned for itself (goal-orchestrator skill: meta.role=spec|impl, meta.goal) count as his too (suggestion_accept_roles); the goals orchestrator itself is report-only, its suggestions are goal-level. For those, one more step before Jev: he gathers what the org already emits — the spec agent's text, siblings' last words, reports on the pane message bus, subtask states in the goal's work queue — and compose.judge_model (MiMo v2.6 flash on OpenRouter, ~$0.001, ~3s) condenses it into one paragraph Jev reads, plus a depends on unfinished work score that forces wait over accept. Observed on a real queue: "run the tests" waits at 0.90 while the sibling's subtask is claimed, accepts at 0.92 once it is done; "git push" dismissed at 0.85. Design: docs/suggestions-stage3-scope.md.

Two bodies, one brain

Jev decides; where the hands are depends on the job.

errand

body

anything in a web page

his Chrome — browser-use/jev-ultrafast (MIT) over CDP

everything else

your desktop — AT-SPI + uinput, quiet by default

Inside a page a DOM snapshot wins and it isn't close: the page owns its state machine and ignores anything that isn't a real DOM event, so a site like Google Flights beats synthetic input. Two upstream lines are wrapped rather than forked — decisions go to the OpenRouter Decisions router (the Jev access this machine has), and the tab opens in the foreground so you can watch. He gets his own Chrome profile because Chrome 136+ refuses remote debugging on the default one; hearthsmith web "<goal>" runs it directly, and the browse intent routes there.

Computer use

He works in your apps, on screen — no headless browser, no remote-debugging ports, no separate profile. Quiet by default: he never touches your mouse or keyboard, so he can work while you work. Widgets are activated through AT-SPI actions (switch a tab, activate a button), fields filled through EditableText, web addresses opened straight in the browser. --hands lets him drive the shared cursor for the widgets that expose no action — that one is exclusive, and he stops the moment the pointer wanders off where he left it. Observe = AT-SPI2 accessibility tree (every GTK/Qt/ Electron app and Firefox/Chromium page content), decide = Jev (typed Choice over the visible elements, ~0.5s), act = AT-SPI actions first, /dev/uinput only under --hands.

Setup (once):

  • gsettings set org.gnome.desktop.interface toolkit-accessibility true (install.sh does it)

  • the hearthsmith-windows GNOME Shell extension (contrib/gnome-extension, install.sh copies it; enable + log out/in once). Wayland hides window positions from clients; the extension exposes frame rects over the session bus, read-only.

  • user in the input group (for /dev/uinput).

One Jev request per cycle carries speculative heads — the operation plus a target for each operation that needs one, each head offering only compatible elements — so whichever operation wins already has its target. Before acting he re-reads the element (gone, hidden or moved ⇒ re-observe instead of clicking blind), and after acting he waits for the tree to actually change rather than sleeping a fixed amount. Those three ideas come from browser-use/jev-ultrafast (MIT), which does the same thing for Chrome over CDP; hearthsmith keeps AT-SPI + uinput so it works in every app, in the windows you can see.

Before reporting success he takes one look: a screenshot of the window goes to the local vision model with the goal, and "YES / NO + why" decides whether the run is really done. That catches what the accessibility tree can't express — a form that is filled in but still has its date picker open over it reads as plausible text and looks obviously unfinished. Once per task, never per step; if the extension or the model is missing it says so and keeps the original verdict. desktop.verify: false turns it off, hearthsmith-look "<goal>" runs it by hand.

hearthsmith do "in Firefox, search for 'lw-pla filament'" · hearthsmith windows shows what he sees. Custom-drawn surfaces (games, terminal grids) are invisible to AT-SPI — screenshot+vision is the fallback there, not built yet.

Available Tools

6 tools
hearthsmith_nags_recentB

What the blacksmith said recently, with the decision that drove it.

ParametersJSON Schema
NameRequiredDescriptionDefault
nNo

Output Schema

ParametersJSON Schema
NameRequiredDescription
resultYes

TDQS

B3/5.0
Behavior3/5

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

There are no annotations, so the description carries the burden. It transparently implies a read-only retrieval ('what ... said recently') and adds that each result includes the driving decision, but it does not disclose ordering, filtering semantics, or whether the call has any side effects. This is a minor gap for a simple read tool.

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?

The description is a single short sentence with no filler and places the core idea first. It is concise, though slightly cryptic due to the blacksmith metaphor.

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

Completeness3/5

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

With one optional parameter and an output schema, the description does not need to explain return values. However, it leaves the meaning of 'nags' and the n parameter implicit, and it does not orient the agent against the sibling tools, so completeness is adequate but not strong.

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

Parameters2/5

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

Schema description coverage is 0%, and the description does not mention the sole parameter n. The name and default hint suggest it is a count, but the description fails to clarify whether n limits the number of results, a time window, or pagination.

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?

The description conveys that the tool retrieves the blacksmith's recent statements (nags) and associates them with the decision that prompted them, which is a clear resource and action even though phrased as a question rather than an imperative. It differentiates from the tasks_* siblings by focusing on the blacksmith's communications/nags rather than task state.

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?

The description gives no guidance on when to choose this tool over siblings such as hearthsmith_tasks_list or hearthsmith_tasks_done, nor any exclusions or prerequisites. The intended use must be inferred from the tool name and context.

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

hearthsmith_tasks_addB

Add a task. due is ISO date/datetime (local). project is a hyperpanes project id or name.

ParametersJSON Schema
NameRequiredDescriptionDefault
dueNo
tagsNo
notesNo
titleYes
projectNo

Output Schema

ParametersJSON Schema
NameRequiredDescription
resultYes

TDQS

B3.2/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It discloses only that the operation adds a task and clarifies parameter formats, but it does not state side effects, permission requirements, idempotency, error behavior, or what happens after creation. This is a meaningful gap for a mutating tool.

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 two sentences with no filler. The core operation is front-loaded, and the additional sentence adds directly useful parameter context. Every word earns its place.

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

Completeness2/5

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

Despite the presence of an output schema, the description is thin for a tool with five parameters and no annotations. It omits usage guidance, behavioral effects, and semantics for some parameters. An agent would still need to guess about expected input formats for tags and notes and what to do after the call.

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 0%, so the description must compensate. It usefully explains that due is an ISO date/datetime in local time and that project accepts a hyperpanes id or name. However, tags, notes, and title are left to inference from their schema titles, so the compensation is only partial.

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 states a specific verb and resource, 'Add a task,' which clearly distinguishes it from sibling tools like hearthsmith_tasks_done, hearthsmith_tasks_list, hearthsmith_tasks_block, and hearthsmith_tasks_snooze. The extra details about due and project reinforce what this tool is for.

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?

The description gives no guidance on when to use this tool versus alternatives, nor does it mention any exclusions or prerequisites. The creation purpose is implied by the verb 'Add,' but the agent is given no explicit decision context relative to the sibling tools.

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

hearthsmith_tasks_blockB

Mark a task blocked (the pet stops nagging about it).

ParametersJSON Schema
NameRequiredDescriptionDefault
reasonNo
task_idYes

Output Schema

ParametersJSON Schema
NameRequiredDescription
resultYes

TDQS

B3/5.0
Behavior3/5

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

With no annotations provided, the description carries the behavioral disclosure burden. It does reveal a key behavioral outcome ('the pet stops nagging'), but it does not explain whether blocking is reversible, how it interacts with other task states, or what side effects occur beyond the nagging behavior.

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?

The description is a single concise sentence with no wasted words, and the core action is front-loaded. It earns a high score for structure, though it sacrifices informative content for brevity.

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

Completeness3/5

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

This is a simple two-parameter tool with an output schema, so the missing return-value documentation is not a concern. However, the description does not explain how blocking differs from marking done or snoozing, nor what 'blocked' implies for future task behavior. It is minimally viable for invocation but not fully contextual.

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

Parameters2/5

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

The input schema has 0% description coverage, so the description must compensate, but it does not. task_id is inferable from its name and required status, but the purpose and effect of the optional 'reason' parameter are entirely unexplained.

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?

The description states a specific action ('Mark a task blocked') and a concrete consequence ('the pet stops nagging about it'). It clearly identifies the resource and operation, though it does not explicitly contrast with sibling tools like done or snooze, which also affect nagging behavior.

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 guidance is given about when to use block versus alternatives such as hearthsmith_tasks_done or hearthsmith_tasks_snooze. The parenthetical describes the effect but leaves the decision entirely to inference.

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

hearthsmith_tasks_doneA

Mark a task done. Accepts an id prefix.

ParametersJSON Schema
NameRequiredDescriptionDefault
task_idYes

Output Schema

ParametersJSON Schema
NameRequiredDescription
resultYes

TDQS

A3.7/5.0
Behavior3/5

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

With no annotations, the description carries the full burden. It discloses a useful behavioral trait—accepting an id prefix—but does not mention whether the action is reversible, what happens to already-done tasks, or any side effects. Core behavior is stated, but edge-case behavior is left unspecified.

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 two concise sentences with the primary action front-loaded and the parameter nuance in the second sentence. There is no fluff or redundant restating of the tool name.

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

Completeness3/5

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

Given the tool has a single parameter and an output schema, the description is mostly adequate. However, it lacks usage guidance and any detail about ambiguous prefixes, repeated calls, or state-transition consequences. It is serviceable but not fully complete.

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

Parameters4/5

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

The schema only provides the parameter name 'Task Id' with no description. The tool description adds real meaning by explaining that the id can be a prefix, which is critical for correct invocation. Without this, the agent would likely assume an exact ID is required.

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 is a precise verb-resource statement: 'Mark a task done.' This clearly distinguishes it from siblings such as list, add, block, and snooze. The second sentence about id prefix adds a useful constraint without muddying the core purpose.

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?

There is no guidance about when to use this tool versus alternatives like block or snooze. No context, prerequisites, or exclusions are provided, leaving the agent to infer the appropriate situation.

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

hearthsmith_tasks_listA

List tasks. state: open | done | blocked | delegated | all. project filters by hyperpanes project id/name.

ParametersJSON Schema
NameRequiredDescriptionDefault
stateNoopen
projectNo

Output Schema

ParametersJSON Schema
NameRequiredDescription
resultYes

TDQS

A4.1/5.0
Behavior3/5

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

With no annotations provided, the description must carry the behavioral burden. 'List' implies a read-only operation, and the state values are enumerated, but the description does not disclose pagination, sorting, or any side effects. It is adequate but not rich.

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 compact, front-loaded with the core action ('List tasks'), and immediately clarifies the key parameters. Every sentence earns its place with no 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?

The tool has an output schema, so return details are not needed. The description covers the essential filtering options and states the allowed state values. Minor omissions like pagination or default behavior are acceptable for a simple list tool, so it is nearly complete.

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?

Despite 0% schema description coverage, the description fully explains both parameters: state lists all allowed values (open, done, blocked, delegated, all) and project filters by hyperpanes project id/name. This adds significant meaning beyond the bare schema.

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 begins with 'List tasks,' a specific verb and resource, and clearly distinguishes this from siblings like hearthsmith_tasks_done, hearthsmith_tasks_add, etc. It is unambiguous that this tool retrieves a collection of tasks, not modifies them.

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 provides filter options (state, project) and implies this is the general listing tool, but it does not explicitly state when to prefer this over siblings such as hearthsmith_tasks_done or hearthsmith_nags_recent. It gives context but no exclusions or alternatives.

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

hearthsmith_tasks_snoozeC

Snooze nagging for a task.

ParametersJSON Schema
NameRequiredDescriptionDefault
minutesNo
task_idYes

Output Schema

ParametersJSON Schema
NameRequiredDescription
resultYes

TDQS

C2.7/5.0
Behavior2/5

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

With no annotations, the description carries the full burden, but it only says 'snooze nagging.' It does not disclose that the task remains open, that the snooze is temporary, that minutes controls the delay, or what effects this has relative to done and block. These are important behavioral traits for a mutation-like task action.

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?

The description is one short sentence with no filler and leads with the action. It is concise and readable, though the brevity comes at the cost of missing useful guidance.

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

Completeness2/5

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

Despite low complexity and the presence of an output schema, the description omits the key distinction from sibling tools (done/block) and the role of the minutes parameter, which an agent needs to choose and invoke the tool correctly. It is minimally understandable but incomplete for confident use in a task-management family.

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

Parameters2/5

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

Schema description coverage is 0%, so the description must compensate for the input schema. It only hints at task_id via 'for a task' and minutes via the verb 'snooze'; it never mentions the default duration, units, or which parameter is required, leaving the schema to do all the work.

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?

"Snooze nagging for a task" states a specific verb (snooze) and resource (nagging/reminders for a task), which distinguishes it from sibling actions like done, list, and add. It is weaker than a 5 because it never explicitly says the reminders are temporarily postponed, leaving some ambiguity with block.

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?

There is no guidance about when to use snooze versus finishing (done), blocking (block), or reviewing nags (nags_recent). An agent must infer the selection criteria from the tool name and sibling list, so the description fails to provide context for choosing this tool.

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

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

  1. 6 tool updatesv0.1.0
    • First observedhearthsmith_nags_recent
    • First observedhearthsmith_tasks_add
    • First observedhearthsmith_tasks_block
    • First observedhearthsmith_tasks_done
    • First observedhearthsmith_tasks_list
    • First observedhearthsmith_tasks_snooze

TDQS

A3.5/5.0

Scored across 6 tools

Disambiguation5/5

Each tool targets a distinct action: adding, listing, marking done, blocking, snoozing, and viewing recent nags. No two tools have overlapping purposes, so an agent can easily select the correct one.

Naming Consistency4/5

Most tools follow the pattern hearthsmith_tasks_<verb> (add, list, done, block, snooze), but 'done' is a past participle rather than a verb, and 'nags_recent' uses an adjective instead of an action. The prefix is consistent and the deviations are minor.

Tool Count5/5

Six tools is well-scoped for a task management server with a nagging feature. Each tool fills a clear role, and the count feels neither thin nor bloated.

Completeness4/5

The surface covers the core lifecycle: create (add), read (list), and multiple state updates (done, block, snooze). Missing a general edit or delete, but the domain does not clearly require them, and the existing operations cover the main workflow without dead ends.

Maintenance

ActivityMaintained
ResponsivenessNo issues

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