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LMCP Upgrade Diagnostics

lmcp_upgrade_diagnostics

Returns LMCP's self-upgrade health (the LMCP app upgrading itself, not editing your data): current version, the last N app-version upgrade attempts with any errors, whether the upgrade cache dir is writable, and any stale LMCP binaries at alternate paths. Call this when the app's auto-upgrade seems stuck, or to explain why a user is on an old version.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax recent attempts to return (default 10)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
cache_dirYes
running_fromYesReal path of the currently running binary.
binaries_foundYesLMCP binaries found at known alternate paths.
cache_writableYesWhether the update cache dir is writable (#1 silent-failure cause).
current_versionYes
last_success_atYesISO 8601 timestamp of last successful update, empty if none.
recent_attemptsYesRecent update attempts, newest first.
consecutive_failuresYes
recent_attempts_countYes

TDQS

A4.3/5.0
Behavior4/5

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

Although annotations are minimal (readOnlyHint=false, destructiveHint=false), the description clearly indicates a read-only diagnostic operation by stating 'Returns' and clarifies scope with 'the LMCP app upgrading itself, not editing your data.' This adds behavioral context beyond the annotations, disclosing what is inspected without claiming modifications.

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, front-loaded with what the tool does, then provides the usage trigger. Every word contributes to clarity, with no redundancy or irrelevant details.

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?

For a diagnostics tool with an output schema and one simple optional parameter, the description covers the purpose, the scope (self-upgrade, not data), the specific checks performed, and the situations in which to call it. No additional information is needed for an agent to use it correctly.

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?

The single parameter 'limit' is fully described in the schema ('Max recent attempts to return (default 10)'), achieving 100% schema coverage. The description mentions 'the last N app-version upgrade attempts,' which aligns with the parameter but adds no additional semantic detail. Baseline 3 is appropriate given schema coverage.

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

Purpose5/5

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

The description uses the specific verb 'Returns' with a clear resource ('LMCP's self-upgrade health') and lists the exact data points (version, attempts, errors, cache writability, stale binaries). It also distinguishes itself by clarifying 'not editing your data' and the scope of self-upgrade, which separates it from sibling 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?

Provides explicit triggers for use: 'when the app's auto-upgrade seems stuck, or to explain why a user is on an old version.' This gives clear context for when to invoke the tool, though it does not explicitly mention alternatives or when not to use it, earning a 4 rather than a 5.

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

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TDQS

A3.5/5.0
Disambiguation3/5

Many tools are clearly distinct per app (e.g., chrome_*, safari_*, m365_*), but there is notable overlap between generic file tools like `file_list` and `finder_list`, both listing files; `search_contacts` and `list_contacts` serve similar purposes; `report_friction` and `report_problem` both send feedback to the team. The large number of tools with similar purposes in different domains creates moderate ambiguity for an agent.

Naming Consistency4/5

The naming convention is very consistent overall: most tools follow a `{app}_action` or `verb_noun` pattern (e.g., `chrome_click`, `create_calendar_event`, `list_reminders`). There are minor deviations like `lmcp_install_upgrade` (two verbs) and `complete_omnifocus_task` vs. `complete_reminder` (inconsistent verb placement). Still, the pattern is predictable and readable across the full set.

Tool Count2/5

With 225 tools, the surface is extremely large and heavy. While it covers many distinct domains (browsers, mail, calendar, files, notes, reminders, video editing, web automation, etc.), the sheer number makes it hard to navigate and likely includes many rarely-used tools. This is far beyond the well-scoped range of 3-15 tools and feels excessive even for a 'local everything' MCP server.

Completeness3/5

For many app integrations, the tool set provides solid CRUD coverage (e.g., Calendar has create, read, update, delete; Apple Notes has create, read, update, list, search; OmniFocus has create, list, search, complete). However, some areas are incomplete: for example, there is no tool to create a new Mail folder or delete notes. The 'web' tools lack a clear update/delete for saved sessions. The suite is broad but has notable gaps within individual domains.