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Web Show

web_show

Brings a web session's browser window to the FRONT so the USER can take over directly — solve a CAPTCHA, complete 2FA, or make a choice the AI shouldn't. Local MCP never solves CAPTCHAs itself; this hands control to the user. Pair with web_screenshot first to show them what's on the page. After they finish, tell the agent to continue — the session keeps its state.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
reasonNoShort reason shown to the user, e.g. 'a CAPTCHA appeared' or 'confirm which account'.
sessionNoSession name (default 'default').

TDQS

A4.5/5.0
Behavior5/5

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

The description clearly discloses that the tool brings the window to the front, hands control to the user, does not solve CAPTCHAs, and preserves session state. Annotations (readOnlyHint=false, destructiveHint=false) are consistent; the description adds valuable context beyond what annotations provide, making the behavior fully transparent.

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 extremely concise (two sentences plus a brief usage note), front-loaded with the primary purpose, and every sentence adds value without redundancy. It efficiently communicates the tool's function, behavior, and pairing advice.

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 the tool's low complexity, the description fully covers its purpose, behavior, usage context, and pairing recommendation. Annotations provide additional safety hints. No output schema is needed, and the description is complete for an agent to use 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?

Schema coverage is 100% with both parameters described. The description adds little beyond the schema: it mentions that the reason is shown to the user, but that's already in the schema description. Since the schema already covers parameter meaning, a baseline score of 3 is appropriate.

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 a specific verb ('brings') and resource ('web session's browser window'), clearly stating the tool's function of bringing the window to the front for user intervention. It distinguishes from siblings by mentioning pairing with web_screenshot and explicitly stating that Local MCP never solves CAPTCHAs itself, which sets it apart from other web automation 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?

The description explicitly states when to use the tool (when a CAPTCHA, 2FA, or decision appears) and provides guidance to pair with web_screenshot. It also tells the agent to signal continuation after user intervention. While it doesn't explicitly list when NOT to use it, the context is clear enough for an agent to decide.

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.