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local-mcp

by com.local-mcp

Slack List Workspaces

slack_list_workspaces
Read-only

Lists the Slack workspaces (teams) the user has connected in Slack Desktop. Start here for Slack — the workspace id it returns is what slack_list_channels / slack_read_channel_messages / slack_search_messages need. Reads from the local IndexedDB cache — no token needed. Only workspaces that have been synced to disk are returned.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
countYesNumber of workspaces returned
workspacesYesConnected Slack workspaces synced to the local cache

TDQS

A4.7/5.0
Behavior4/5

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

Annotations declare readOnlyHint=true and destructiveHint=false, matching the description's read-only nature. The description adds valuable behavioral context beyond annotations: it reads from local IndexedDB cache, requires no token, and returns only disk-synced workspaces. These are meaningful behavioral disclosures not captured by the 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?

Three dense, purposeful sentences with zero wasted words. Every sentence adds distinct value: what it lists, why it's the entry point, and how it sources data. Front-loaded with the core purpose.

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 zero-parameter read-only list tool with a well-described return value and no token requirements, the description is complete. It addresses data source, prerequisites (none), return value significance, and a known limitation (sync-to-disk) — no gaps remain for an agent to discover.

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?

There are 0 parameters and schema coverage is 100%, so the baseline could be 4 per the rubric. The description doesn't need to explain parameters it doesn't have. It explains the return value's significance (workspace id used by downstream tools) which adds value beyond the 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?

Clear specific verb+resource: 'Lists the Slack workspaces (teams) the user has connected.' It also positions itself as the entry point for Slack, stating the returned workspace id feeds into slack_list_channels / slack_read_channel_messages / slack_search_messages, distinguishing it from related 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 Guidelines5/5

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

Explicitly states 'Start here for Slack' and names the downstream tools that need its workspace id. Also discloses the data source (IndexedDB cache, no token needed) and a limitation (only workspaces synced to disk are returned), giving clear when-to-use context.

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.

Resources