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Glama

Fast proof: check a bundled library before trying zotio on your own data.

brew install orgmentem/tap/zotio        # or grab a signed binary from Releases
zotio demo                              # bundled library: 34 classic papers, one genuinely retracted
ZOTIO_DEMO=1 zotio --data-source local items retract-check  # check every DOI against Retraction Watch data
KEY         STATUS      TYPE        NOTICE DOI                     DATE        SOURCE            TITLE
WAKEFLD98   correction  correction  10.1016/s0140-6736(04)15715-2  2004-03-06  retraction-watch  Ileal-Lymphoid-Nodular Hyperplasia, Non-Speci...
WAKEFLD98   retracted   retraction  10.1016/s0140-6736(10)60175-4  2010-02-06  retraction-watch  Ileal-Lymphoid-Nodular Hyperplasia, Non-Speci...
FAIR002016  correction  addendum    10.1038/s41597-019-0009-6      2019-03-19  publisher         The FAIR Guiding Principles for Scientific Da...
Checked 21 DOI-bearing items; 3 update notices flagged; 2 DOI(s) not registered with CrossRef.

That is the bundled library catching the retracted Wakefield 1998 MMR paper, with no Zotero install and no API key (the check queries Crossref live). zotio demo --reset removes it.

Zotero itself red-flags a retracted item when you open it, from the same Retraction Watch data. zotio adds what the desktop app does not: corrections and expressions of concern, a report across a whole library that scripts can consume, and an exit code CI can fail on.

Point it at your real library:

zotio init                                         # guided setup: detect Zotero, key, first sync, health check
zotio items retract-check                          # the same check, against your real library
zotio library health --for citation --fail-on high # fit to cite? (exit 11 if not)
zotio items bibcheck thesis.tex --fail-on-unknown  # every \cite{} resolves? (exit 11 if not)

Why zotio

Zotero's GUI is great for reading and citing. It is painful the moment you need to operate on a library at scale: find every article missing a PDF, catch duplicate \cite{} keys before a submission, export a week of highlights, keep an Obsidian vault in sync, or hand an AI agent trustworthy context. Existing CLIs and pyzotero give you raw API access — then you write the glue, and you own the risk.

zotio is the glue, hardened:

  • Reads are local and free. Point at your running desktop app — no API key, no cloud round-trip, works offline against a synced mirror.

  • Writes are preview-first. Every mutation shows a plan before it touches anything. Gates cap blast radius; irreversible ops require an explicit opt-in; an append-only journal lets you undo the reversible ones.

  • Context is bounded and provenance-tagged. Every result says where it came from and how fresh it is — so a human or an agent knows whether to trust it. zotio never calls an LLM; it does the assembly and budgeting a model is bad at, then hands off.

It is the tool you reach for when the GUI gets too manual: find the problems that bite downstream, fix them safely, ingest with review, and give agents a surface they can trust.


Related MCP server: Zotero MCP

How it works

Reads stay on your machine. Writes split by intent: creating a new item (with its attachments/PDFs) prefers the local desktop connector (localhost:23119, no key — the same channel the browser "Save to Zotero" button uses), while everything else — field edits, deletes, enrichment, tag ops, moves, and collections create/update — routes to the Zotero Web API and needs a configured key. The connector path is a preference, not a guarantee: --via auto uses it only on a personal library with the desktop running, and falls back to the Web API otherwise (group libraries always go to the cloud). Either way it's preview-first, the version-read happens locally, and the applied change is replayed into your local mirror so a follow-up read sees it without another sync.

zotio hybrid routing architecture

Plane

Backend

Needs a key?

Read

Local Zotero API (localhost:23119) + synced SQLite mirror

No

Write — new item

Local desktop connector (localhost:23119) when personal + desktop up; else Web API. New items, attachments, PDFs.

No (connector path)

Write — everything else

Zotero Web API (api.zotero.org) — edits, deletes, enrich, tags, moves, collections create/update

Yes — configured once

External

CrossRef · OpenAlex · Semantic Scholar · Unpaywall · OpenCitations

No (feeds enrich/import)

Local-only

Files, desktop launch, vault, introspection

No

Run zotio doctor any time to see connectivity, cache freshness, and a writes: line telling you whether write-back is available or read-only.


The flagship: library health

One command that answers a real question — "is this library fit for the next thing I'm going to do with it?" — instead of making you run six separate audits and eyeball the output.

library health diagnostic and CI gate

library health composes the checks that already exist (citekey conflicts, duplicates, missing metadata, tag drift, broken attachments) into one ranked, finding-typed report. You pick what "ready" means with --for:

--for

Prepares for

Checks

quick (default)

anything obviously broken

citekey conflicts, duplicates, broken attachments

citation

a manuscript bibliography

missing/duplicate citekeys, citation-core fields, duplicates

systematic-review

a PRISMA screening corpus

duplicates, screenable metadata (title/abstract), full-text PDFs

vault

a trustworthy Obsidian/PKM vault sync

missing/duplicate citekeys (note filenames), citation-core fields

all

a full sweep

every registered check

$ zotio library health --for quick
Health: needs attention
Scope: library · 846 top-level items (2103 mirrored rows) · source local · synced 1d ago · preset quick

High (13)
  [duplicate_candidates] doi="10.1002/bdm.2118" (2 items)
  [duplicate_candidates] title="Social psychology" (3 items)
  ... 11 more

Skipped (precondition unmet)
  broken_attachment_file — live check (needs Zotero desktop running); off by default.
    Fix: zotio library health --for quick --verify-files

Remediation plan (preview-first)
  duplicate_candidates — zotio items duplicates resolve --doi (preview first; add --yes after review)

Three things make it trustworthy, not just convenient:

  • It gates CI. --fail-on critical|high|info|none exits 11 when the bar isn't met — drop it in a pre-submission hook. --require-fresh 24h exits 12 if your local mirror is stale.

  • It never lies by omission. A check that needs the desktop app (broken attachments) doesn't silently vanish — it becomes a loud skip with a remedy, and if that skip is gate-relevant the run exits 9 (setup required) rather than falsely passing.

  • It points at the real fixer. Findings carry a recommended_action naming the exact existing command (items enrich, items duplicates resolve, tags audit fix) — health diagnoses, dedicated commands treat.

CI for your bibliography

--badge renders any health run as a shields.io endpoint JSON artifact — healthy green, findings yellow, gate-failure red, setup required orange:

# .github/workflows/bibliography.yml (excerpt)
- run: zotio sync
- run: zotio library health --for citation --fail-on high --badge > badge.json
  # exit 11 fails the job when the bar isn't met; badge.json says why
# publish badge.json anywhere shields can reach (gh-pages, gist, artifact host), then:
#   https://img.shields.io/endpoint?url=https://<you>.github.io/<repo>/badge.json

Your thesis or review repo gets a live bibliography | healthy badge — and a failing build the moment a citekey conflict or duplicate slips in. Add --check-retractions to extend the gate to retracted papers (Crossref's Retraction Watch data), and gate the manuscript itself with zotio items bibcheck paper.tex --fail-on-unknown. The zotio-action packages this — install, sync, gate, and diff against a baseline so it fails only on new problems (guide).

See it running for real: zotio's own docs deploy publishes a live badge off the maintainer's real Zotero library (workflow, guide).


Safe by default: the write engine

Every write command — items enrich, tags audit fix, items duplicates resolve, items preprint-check fix, items create/update/move/delete, import apply, vault push — flows through one mutation envelope with identical, predictable semantics.

preview-first write lifecycle with journal and undo

  • Preview is the default. You get a plan/result envelope with zero changes. --yes applies; --dry-run always wins.

  • --agent does not auto-apply. Agent mode sets JSON + non-interactive defaults, but a write still needs an explicit --yes.

  • Gates cap the blast radius. --max-changes defaults to 500 (50 under --agent); irreversible ops (merge, permanent delete, empty-trash) refuse to run without --allow-destructive.

  • Read-your-writes. An applied write is replayed into the local mirror immediately, and the post-write item state comes back in the envelope — a re-audit sees the fix with no follow-up sync.

  • Journaled + reversible. Every applied run is recorded append-only (journal list / journal show). journal undo <run-id> reverses the reversible ops (tag renames, collection membership, and creates — reversed by trashing the created item) and loudly refuses the rest (merges, deletions, field overwrites) rather than guessing.


Import without making a mess

Bulk-import references through a review checkpoint. Nothing hits your library until you've seen — and can edit — the manifest.

reviewable import pipeline: scan, resolve, apply

zotio import scan ~/Downloads/papers          # read-only: triage new vs duplicate vs attach-candidate
zotio import resolve ~/Downloads/papers -o manifest.json   # resolve DOI/PMID/arXiv/ISBN → editable manifest
#   ... review and edit manifest.json ...
zotio import apply manifest.json --dry-run     # preview the writes
zotio import apply manifest.json --yes         # schema-valid creation via the Web API
  • Scan classifies a folder of PDFs against your existing library — extracting DOIs from filenames or the PDF bytes — so you never re-import what you already have.

  • Resolve turns findings into an editable JSON manifest, enriching create-entries from CrossRef. This is the human touchpoint.

  • Apply creates schema-valid items, preview-first, with an explicit --attach-mode none|linked-file|stored contract. stored uploads the file bytes: --via connector hands the item and its file to Zotero desktop in one session, while the direct Web API route is guarded by the file-storage precondition (--allow-zotero-cloud to override).

One-shot importers are there too: import doi|pmid|arxiv|isbn|url|file|pdf.


Conflict-safe vault round-trip

Keep an Obsidian or Logseq vault in step with Zotero in both directions — without ever clobbering your prose.

conflict-safe Obsidian/Logseq vault round-trip

zotio vault sync              # Zotero → one Markdown note per item (idempotent)
zotio vault push --dry-run    # your ## Notes region → a managed Zotero child note
zotio vault pull --dry-run    # remote note edits → your ## Notes region (fast-forward only)

Each note has a managed region (frontmatter + a fenced annotations block, refreshed on every sync) and your region (## Notes, prose preserved untouched). Write-back is fast-forward only: if both sides changed, zotio never merges blindly — it writes a reviewable conflict artifact under _vault-zotero-conflicts/ and reports it, so divergence becomes something you resolve on purpose (vault resolve --keep-vault | --keep-remote | --recreate), never a silent overwrite. Run vault audit for a read-only preflight before any push.

Configure the vault once in ~/.config/zotio/config.toml:

[vault]
root = "~/Vaults/dev"    # ~ is expanded; base output dir
notes_dir = "Zotero"     # notes land in <root>/<notes_dir>
format = "obsidian"      # or "logseq"

More that the GUI and pyzotero don't give you

Library hygiene, integrity & analytics

  • items retract-check — check every DOI against Crossref's Retraction Watch data: retractions, expressions of concern, and corrections, with notice DOIs and dates. Opt into the library health gate with --check-retractions. (This one reads the network.)

  • collections gaps — citation-graph gap analysis: rank the papers your collection cites most that are missing from your library (OpenCitations + Semantic Scholar), then import doi them. (Network too.)

  • items bibcheck <manuscript> — parse \cite{}/@citekey from .tex or pandoc Markdown and resolve every key against your library — unknown and ambiguous keys flagged, and an unknown key carries the closest keys in your library as an advisory suggestion when one is close enough to name, so a one-character typo is a named fix rather than a hand-grep of the .bib. --fail-on-unknown exits 11 for CI.

  • tags audit — group tags that differ only by case or variant, with item counts and ready-to-run merge commands. On a real 840-tag library it surfaced 53 duplicate groups in one pass.

  • library stats — a one-command dashboard: items by type and year, top venues, PDF coverage, and optional intake buckets with --added-by month|year.

  • items audit — count and list items missing PDFs, abstracts, DOIs, tags, or citation-core fields; --verify-files checks PDFs actually exist on disk.

  • items duplicates — detect likely duplicates by DOI or title (attachments/notes excluded), then duplicates resolve to merge safely.

  • items citekey-conflicts — find missing or duplicate Better BibTeX keys before they break a LaTeX build.

  • items find — resolve a DOI, ISBN, PMID, arXiv ID, citation key, URL, OpenAlex work ID, or exact title against the local mirror before importing a duplicate. A title matches whatever its case, whitespace, quote and dash styling, or trailing full stop, so a title pasted from a reference list resolves. When the lookup as a whole matches nothing, the closest titles or keys in the library are listed separately with a score, so a typo is distinguishable from an absent paper; they are suggestions to confirm, never matches. The selectors are OR-ed, so a run that matched on another selector reports no near rows for the one that missed.

Reading & synthesis

  • items summarize — assemble a bounded, synthesis-ready bundle for an item or collection (citation + abstract + your annotations + a capped fulltext excerpt + known metadata gaps + a synthesis prompt) and hand it to any LLM. zotio does the budgeting; it never calls the model.

  • annotations export · annotations timeline · annotations search — pull highlights and notes as Markdown or JSON, ordered by date or searched by text.

  • reading-list — a to-read tag queue with an addstartdone lifecycle for triaging what to read next.

  • items note-template — generate a pre-filled Obsidian/Logseq reading note for an item.

  • items open — print or launch a zotero:// deep link to an item, collection, or PDF (cross-platform).

  • library wrapped — your Zotero year in review: hero counts, monthly rhythm with peak highlight, a type-mix ratio bar, highlights (busiest day, longest streak, deep cut, most-annotated paper, top tag), top venues and full author names, PDF coverage — plus a shareable SVG card in four layouts via --card-style overview|rhythm|picks|cycle (the card below is cycle, crossfading through all three):

Enrichment (reads external APIs, writes Zotero)

  • items enrich — fill missing DOIs and abstracts from CrossRef → OpenAlex → Semantic Scholar; fill missing citation fields from CrossRef; attach open-access PDFs from Unpaywall; and record provenance in each item's Extra field. --missing-citation fills only blank fields supported by the item type, including provider-backed volume, issue, and pages. --validate reports title, year, and render-field discrepancies against CrossRef, plus DOI registration failures from OpenCitations, without writing.

  • items preprint-check — find arXiv preprints that now have a published CrossRef record; preprint-check fix upgrades them with the journal DOI — preview-first, journaled, and it never overwrites a conflicting DOI.

Export & reproducibility

  • items bibliography — render a shared scope with a CSL style, or export it as CSL-JSON, BibTeX, BibLaTeX, or RIS. CSL-JSON uses unique Better BibTeX citation keys for Pandoc and Quarto.

  • collections export — a whole collection and its subcollections as one BibTeX, RIS, or CSL-JSON file, structure preserved in comments.

  • export snapshot — a reproducible, resumable, fully paginated JSONL export with a <output>.lock.json content lockfile (sorted key+version + sha256) for drift detection and clean review handoffs.

Freshness & schema

  • sync · watch · tail — populate the mirror, keep it fresh with periodic incremental syncs, or stream live changes. watch --health diffs library health between cycles and reports new findings to stdout or a webhook — hear about drift the cycle it appears.

  • schema drift — after a Zotero upgrade, detect item-type / field / creator-field changes against a saved baseline.


Built for agents

zotio publishes a machine-readable trust model so an MCP host, CI job, or shell script can discover what's safe, fresh, and writable before it acts.

  • --agent on any command: JSON + compact + non-interactive + no color, in one flag. (It never auto-applies writes.)

  • capabilities — the full registry (140 commands), each tagged with operation, data_sources, write_target, destructive, and requires preconditions. Commands with several write routes also list each route's target and preconditions.

  • agent-context — a structured description of the whole CLI, embedding the registry and discovery hints.

  • which "<capability in your words>" — resolve a natural-language query to the command that does it.

  • Stable envelopes — one mutation plan/result shape, one finding shape, one exit-code contract. Learn the grammar once.

Scope grammar — one selection vocabulary across reads, audits, exports, and enrich:

collection:KEY   tag:NAME   query:TEXT   item:KEY   saved-search:KEY (needs live desktop)

Exit codes: 0 ok · 2 usage · 3 not-found · 4 auth · 5 API · 7 rate-limited · 9 precondition/setup (including another writer holds the lock — retry) · 10 config · 11 quality-gate failed · 12 freshness-gate failed · 13 degraded — incomplete: part of a read was unreadable, or part of a batched write was rejected after other elements succeeded. Output is not guaranteed; read the reported failures and reconcile before retrying.


Install

zotio comes in three pieces you can install independently: the CLI (the engine — everything runs through it), the agent skill (drives the CLI inside coding agents), and the MCP server (exposes the CLI to MCP hosts like Claude Desktop). Most people want the CLI; add the skill or MCP server for your agent of choice.

1. The CLI — zotio

Homebrew (macOS):

brew install orgmentem/tap/zotio

This installs both zotio and the zotio-mcp MCP server; brew upgrade tracks new releases.

Linux (deb / rpm / apk): there is no apt/dnf/pacman repository — the packages are GitHub release assets. Install with dpkg -i, rpm -i, or apk add --allow-untrusted; the install guide has a snippet that resolves the latest version and your architecture. Homebrew works on Linux too — the tap ships formulae, not casks (brew install orgmentem/tap/zotio).

Windows (WinGet / Scoop): winget install OrgMentem.zotio, or scoop bucket add orgmentem https://github.com/OrgMentem/scoop-bucket && scoop install zotio. Both install zotio and zotio-mcp. WinGet can serve the previous version for a short window after a release while Microsoft merges the version bump; Scoop updates immediately.

Prebuilt binaries: every GitHub release ships archives for macOS, Linux, and Windows (amd64/arm64) with cosign-signed checksums and SBOMs. Unpack and put zotio on your PATH; on macOS clear the Gatekeeper quarantine (xattr -d com.apple.quarantine zotio), on Unix chmod +x zotio.

From source:

git clone https://github.com/OrgMentem/zotio && cd zotio && go build -o zotio ./cmd/zotio

Then let the CLI walk you through setup — Zotero detection, the local-API toggle, an optional Web API key, first sync, and a health check:

zotio init

2. The agent skill

A focused skill — bundled in this repo as SKILL.md — that teaches a coding agent to drive the CLI directly (the most efficient path; no MCP server in the middle).

Recommended — the skills CLI (works across Claude Code, Cursor, Codex, Cline, opencode, and 40+ agents):

npx skills add OrgMentem/zotio          # detect your agents and install
npx skills add OrgMentem/zotio --list   # preview without installing
npx skills add OrgMentem/zotio -g       # install globally (all projects)

Manual:

  • Claude Code: copy SKILL.md into ~/.claude/skills/zotio/SKILL.md (or your project's .claude/skills/zotio/).

  • Any other agent: point it at the raw file — https://raw.githubusercontent.com/OrgMentem/zotio/main/SKILL.md — or paste it into your agent's skill store.

3. The MCP server — zotio-mcp

zotio-mcp ships alongside the CLI — the Homebrew formula and every release archive include both binaries. Register it:

# Claude Code
claude mcp add zotero zotio-mcp -e ZOTERO_API_KEY=<your-key>

For Claude Desktop, every release ships per-platform MCPB bundles — download the .mcpb for your platform, double-click it, and Claude Desktop walks you through the install.

Install the zotio-mcp binary and add to ~/Library/Application Support/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "zotero": {
      "command": "zotio-mcp",
      "env": { "ZOTERO_API_KEY": "<your-key>" }
    }
  }
}

The ZOTERO_API_KEY is optional for read-only local-desktop use (the local API needs no key); set it to enable writes and reach group libraries.


Authentication

Reads go to your Zotero desktop app at localhost:23119 — no API key required while Zotero is running. First enable the local API in Zotero: Settings → Advanced → "Allow other applications to communicate with Zotero."

Creating items and saving attachments also works keyless — those go through the same local desktop connector.

Editing writes (items update/delete/move, items enrich, tags mutations, vault push/pull/resolve, most of import apply) route to the Zotero Web API and need a key. Configure it once:

printf %s "$ZOTERO_API_KEY" | zotio auth set-token --stdin     # or export ZOTERO_API_KEY=<key>

Generate a key at https://www.zotero.org/settings/keys. The first Web API write prints a one-time stderr notice naming the target. A key is also needed to read group libraries or to read while the desktop app is closed. Run zotio doctor to see a writes: line reporting whether write-back is available.


Use

Use the CLI directly

# 1. Verify Zotero is running and reachable
zotio doctor

# 2. Sync your library to local SQLite for offline search + analytics
zotio sync

# 3. See the shape of your library
zotio library stats

# 4. Certify it for a citation handoff (exit 11 if it fails the bar)
zotio library health --for citation --fail-on high

# 5. Search offline
zotio search 'automation trust' --fulltext --data-source local --json

# 6. Export a week of highlights for synthesis
zotio annotations timeline --since 2026-05-01 --format markdown > this-week.md

Use the skill in a coding agent

Once installed (above), invoke /zotio <query> in Claude Code. The skill drives the CLI directly — the most efficient path, no MCP server in the middle.

Use the MCP server in an agent host

Once registered (above), the MCP server exposes a command-orchestration facade (command_search / command_run) rather than one tool per endpoint — agents discover and drive the CLI the same way a human would (see dev/adr/0001-mcp-command-surface.md; switch surfaces via ZOTIO_MCP_SURFACE). It also serves Zotero context as resourceszotero://context, zotero://agent-context, zotero://status, zotero://schema, zotero://freshness, zotero://health/{scope}, zotero://capabilities, and bounded graph resources (collections/{key}/tree, items/{key}/children|attachments|context) — plus guided prompts (prepare-library-health, prepare-import, sync-vault-safely, inspect-library, export-reading-notes, prepare-citation-export, synthesize).


Output formats

zotio collections list                       # human table (JSON when piped)
zotio collections list --json                # JSON for scripting and agents
zotio collections list --json --select id,name,status   # only the fields you need
zotio collections list --dry-run             # show the request without sending
zotio collections list --agent               # JSON + compact + non-interactive + no color

Also available: --csv, --plain, --quiet, --compact, and --deliver stdout|file:<path>|webhook:<url>.


Health check & troubleshooting

zotio doctor            # config, credentials, connectivity, cache freshness, writability
  • doctor: connection refused — open Zotero desktop and enable Settings → Advanced → "Allow other applications to communicate with Zotero."

  • items missing-pdf / analytics return nothing — run zotio sync first to populate the local mirror.

  • annotations export outputs empty sections — PDF annotations must be made in Zotero's built-in PDF reader, not an external app.

  • citekey-conflicts finds no keys — install the Better BibTeX extension; citation keys live in the extra field.

  • Authentication errors (exit 4)zotio doctor to check credentials; verify echo $ZOTERO_API_KEY.


Configuration

Config file: ~/.config/zotio/config.toml. Static request headers can be set under [headers]; per-command overrides take precedence.

Variable

Required

Description

ZOTERO_API_KEY

No for reads

Required for writes (routed to the Zotero Web API), group libraries, and access while the desktop app is closed. Local desktop reads need no key. Configure once by piping the token into zotio auth set-token --stdin.


Command reference

Run zotio --help for the full command list, or zotio <command> --help for any subcommand. Ask the CLI directly when you know the goal but not the command:

zotio which "export bibtex for a collection"

agent-context · analytics · annotations · attachments · auth · capabilities · collections · completion · creators · demo · doctor · export · feedback · groups · import · init · items · journal · library · profile · reading-list · schema · search · searches · sync · tags · tail · vault · version · watch · which · workflow

Sister project: papio

zotio manages and safeguards your Zotero library. papio is the acquisition side: it finds and downloads validated, provenance-tracked PDFs from open access and your own institutional subscriptions through your normal browser, then hands them to zotio for preview-first import. If your library has items without PDFs, papio fills them.


Sources & inspiration

Built by studying these projects and resources:


Licensed under MIT.

Zotero is a registered trademark of the Corporation for Digital Scholarship. zotio is an independent project and is not affiliated with or endorsed by Zotero or the Corporation for Digital Scholarship.

Available Tools

6 tools
command_runA
Destructive

Run one mirrorable Cobra command by its space-separated command path.

ParametersJSON Schema
NameRequiredDescriptionDefault
argsNoAdditional positional arguments only; raw flags rejected.
nameYesExact space-separated command path to run, such as "items enrich".
flagsNoSafe flags to pass by name: command-local flags plus, for mutating commands, the write-safety gate flags (yes, dry-run, allow-destructive, allow-zotero-cloud, max-changes, continue-on-error, max-failures) — pass {"yes": true} to apply a write. Inspect available flags via command_search.

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already flag destructive behavior and non-read-only operation, so the bare 'Run' wording does not contradict them. The top-level description adds no further behavioral context such as side effects, write-safety gates, or return behavior; those details appear in the schema, not in the description.

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 one compact sentence that front-loads the operation; it has no filler. Detailed flag semantics are correctly deferred to the schema rather than repeated in the description.

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 combination of the terse description, the rich flags parameter description, and the destructive/readOnly annotations gives an agent enough to invoke the tool safely. The main unresolved piece is the meaning of 'mirrorable', and there is no mention of output or error behavior, but for a command runner this is a modest gap.

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?

With 100% schema description coverage, the parameters are already documented in the schema. The top-level description adds little beyond restating that the command is addressed by a space-separated path, which duplicates the name parameter's description.

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 names a concrete action ('Run'), a specific resource ('one mirrorable Cobra command'), and the addressing scheme ('space-separated command path'). It makes clear this executes a command rather than searches for one, but it does not name siblings or explain the unexplained 'mirrorable' qualifier.

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 implies the use case: given a command path, run it. It does not explicitly state when to choose this over command_search, context, query, or workflow_submit; the only cross-reference is the schema's note to inspect available flags via command_search, which is not in the description itself.

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

contextA
Read-only

Get API domain context: resource taxonomy, auth requirements, query tips, and unique capabilities. Call this first.

ParametersJSON Schema
NameRequiredDescriptionDefault

No parameters

TDQS

A4.3/5.0
Behavior3/5

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

Annotations already disclose readOnly and openWorld. Description adds what the context contains but does not contradict annotations.

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?

Two concise sentences, no wasted words. Front-loaded with action and resource.

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

Completeness5/5

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

Given zero parameters and no output schema, the description fully covers what the tool does and when to use it.

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?

No parameters exist; baseline 4 per instructions. Description adds no parameter info, but none needed.

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?

Clearly states the tool retrieves API domain context including specific items (resource taxonomy, auth requirements, etc.). Distinct from sibling action tools.

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?

Explicitly says 'Call this first', providing clear temporal guidance. Does not explicitly name alternatives but context implies using siblings for subsequent actions.

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

sqlA
Read-only

Run read-only SQL against local database. Use for ad-hoc analysis, aggregations, and joins across synced resources. Requires sync first. Returns a JSON object with rows, truncated, and row_limit; large responses are bounded to the MCP tool-result budget.

ParametersJSON Schema
NameRequiredDescriptionDefault
queryYesSQL query (SELECT or WITH...SELECT). Tables match resource names.

TDQS

A4.3/5.0
Behavior4/5

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

Beyond annotations (readOnlyHint, openWorldHint), description adds return structure ('rows, truncated, row_limit') and budget bound, providing useful behavioral context.

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?

Two sentences, no wasted words. Purpose and behavioral details are front-loaded and concise.

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

Completeness5/5

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

Despite no output schema and single parameter, description covers purpose, usage, return format, constraints, and budget limits, making it complete for this simple tool.

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% and the parameter description in schema is adequate; description adds no new parameter-level detail beyond what schema provides.

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?

Description clearly states the tool runs read-only SQL for ad-hoc analysis, aggregations, and joins, differentiating it from sibling tools like command_run or search.

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?

Explicitly states use case ('ad-hoc analysis, aggregations, joins') and prerequisite ('requires sync first'), but does not list when not to use or mention alternatives.

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

workflow_submitA
Destructive

Submit an inline multi-step workflow executed by zotio's transactional runner — previews unless yes; one approval, one journal run id; steps validated per-command exactly like command_run.

ParametersJSON Schema
NameRequiredDescriptionDefault
yesNoApply the full workflow once instead of previewing it.
varsNoWorkflow variable values.
stepsYesValidated workflow steps.
continue_on_errorNoContinue executing later steps after a step fails.

TDQS

A3.5/5.0
Behavior4/5

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

Beyond annotations (destructiveHint=true), the description adds that it's a transactional runner, previews unless confirmed, steps validated per-command, and constraints like one approval. No contradiction with annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Single sentence is concise but dense, packing multiple ideas. Could benefit from clearer structure or bullet points for readability.

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 no output schema and complex nested input, the description covers key behavioral aspects but lacks details on return values, error handling, or comprehensive parameter behavior. Adequate but not 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 coverage is 100%, so description need not elaborate on parameters. It does add that the 'yes' flag switches from preview to apply, and steps are validated like command_run, but doesn't detail other parameters beyond what schema provides.

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 clearly states the tool submits an inline multi-step workflow, distinguishing it from single-command tools like command_run. However, it does not explicitly contrast with siblings beyond mentioning steps are validated like command_run.

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?

Provides some usage context: 'previews unless yes' indicates when to use the yes flag, and mentions approval and journal run id. But lacks explicit guidance on when to use this tool versus siblings like command_run or search.

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. Dates show when Glama detected each change.

  1. 1 tool updatev0.21.0
    • Changedsearch4 fields changed
      • addedInput schema / properties / fulltext
        Added value: +{
        +  "description": "Search only synced PDF text and return parent item context",
        +  "type": "boolean"
        +}
      • changedInput schema / properties / limit / description
        Previous value: -"Max results (default 25)"New value: +"Max results (default 25, maximum 100)"
      • addedInput schema / properties / limit / maximum
        Added value: +100
      • addedInput schema / properties / limit / minimum
        Added value: +1
  2. 1 tool updatev0.19.0
    • Changedcommand_run1 field changed
      • changedInput schema / properties / flags / description
        Previous value: -"Safe flags to pass by name: command-local flags plus, for mutating commands, the write-safety gate flags (yes, dry-run, allow-destructive, max-changes, continue-on-error, max-failures) — pass {\"yes\": true} to apply a write. Inspect available flags via command_search."New value: +"Safe flags to pass by name: command-local flags plus, for mutating commands, the write-safety gate flags (yes, dry-run, allow-destructive, allow-zotero-cloud, max-changes, continue-on-error, max-failures) — pass {\"yes\": true} to apply a write. Inspect available flags via command_search."
  3. 1 tool updatev0.9.1
    • Addedworkflow_submit
  4. 5 tool updatesv0.7.0
    • First observedcommand_run
    • First observedcommand_search
    • First observedcontext
    • First observedsearch
    • First observedsql

TDQS

A3.7/5.0
Disambiguation4/5

Each tool targets a distinct action—querying data (sql/search), inspecting or executing commands (command_search/command_run), submitting workflows, and getting context. The main confusion risk is between search and command_search, or sql and search, but the descriptions clearly separate full-text search, SQL analysis, and command lookup.

Naming Consistency3/5

Tool names are a mix of bare nouns/verbs (sql, context, search) and noun_verb compounds (workflow_submit, command_run, command_search). The command_* group is internally consistent, but there is no uniform naming convention across the whole server.

Tool Count5/5

Six tools is a well-scoped set for a server covering context, data querying, command discovery/execution, and workflow submission. Each tool earns its place without feeling redundant.

Completeness3/5

The surface covers querying, command execution, workflow submission, and context, but both sql and search say 'Requires sync first' while no sync/refresh tool is exposed. Workflow lifecycle is also sparse—submit only, with no listing or status tool—leaving notable gaps around the stated prerequisites.

Maintenance

ActivityActive
ResponsivenessWithin a week

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