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Get Removal Kit

boosthis_get_removal_kit
Read-only

Everything involved in removing Boosthis from THIS React Native project: ai_instructions (the removal sequence), paths[] (every kit file), remove_dependencies[] (package.json entries), config_files[] (boosthis.config.json, where the project key is stored), wiring_to_strip[] (the calls), and mcp_config_to_strip[] (Boosthis MCP entries in an AI tool's config). The sequence is load-bearing: the telemetry client's forget() erases server data and wipes local telemetry state, and it only reaches the server while the config still holds the key — so a config deleted first leaves the server-side data in place.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_codeNoThe 8-character project code from this description's lead — not the project name, which two projects can share. Required when the account holds several projects.

TDQS

A4.1/5.0
Behavior5/5

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

Annotations already mark the tool as read-only and non-destructive, and the description adds valuable context beyond them: the load-bearing cleanup order, the fact that forget() erases server data and wipes local telemetry state, and the risk that deleting config first strands server-side data. This does not contradict the readOnlyHint because the tool provides the kit rather than performing the removal itself.

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 dense but purposeful: a colon-led inventory front-loads the kit contents, and a second sentence explains the ordering constraint. Every clause carries information, though the long enumerating sentence could be slightly easier to scan.

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?

For a one-parameter tool with no output schema and full schema coverage, the description is largely sufficient: it enumerates all kit categories and warns about the destructive-order nuance. It does not describe the exact response layout or explicitly state that invoking the tool itself makes no changes, but the annotations cover the latter.

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 only parameter, project_code, is already fully documented in the schema with its 8-character format and the warning not to use the project name. Schema coverage is 100%, so the description does not need to compensate, and it adds no parameter-specific detail beyond the phrase 'THIS project'.

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 the resource ('removal kit'), scopes it to 'THIS React Native project', and enumerates the kit's components (ai_instructions, paths, remove_dependencies, etc.), so an agent can tell what the tool supplies. It does not explicitly contrast with siblings like boosthis_get_integration_kit, but the word 'removing' makes the intent distinct enough.

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 phrase 'Everything involved in removing Boosthis from THIS React Native project' gives a clear invocation context: use this when removal from the current project is being planned or executed. It does not name alternatives or when-not conditions, so it falls short of explicit routing guidance.

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

A3.9/5.0
Disambiguation4/5

Most tools target a distinct concern—alerts, budgets, jobs, promises, rules, crash risk, install/removal—and the descriptions are detailed enough to separate them. A few pairs, like verify_kit/verify_kit_install and recent_samples/session_summary, could be misselected without close reading, but they are not functionally identical.

Naming Consistency3/5

All tools share the boosthis_ prefix and use snake_case, which creates a recognizable namespace. However, the second part mixes noun-only names (alerts, budgets, jobs, snapshot, trend), verb-based names (get_rule, remember_promise, verify_kit), and one sentence-style name (what_should_i_look_at_next), so there is no consistent verb_noun convention.

Tool Count3/5

At 24 tools, this sits squarely in the borderline-heavy range for an MCP server. Each tool does have a distinct role, but the surface feels large, especially with several overlapping read-only diagnostics that could potentially be consolidated.

Completeness4/5

The set covers the main observability lifecycle well: install, verify, monitor, diagnose, check trends, and record promises. Minor gaps exist—like no way to mutate alert states or delete promises through the MCP—but these appear intentional and are documented as dashboard-side actions.

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