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Check For Update

boosthis_check_for_update
Read-only

Whether a newer Boosthis kit exists for THIS project. runtime is one of 'rn' (the default), 'web', 'node', 'python', 'java', 'go', 'php', 'dotnet', 'ruby', 'flutter', 'swift', 'kotlin', 'rust', 'elixir' or 'edge'; installed_version is the installed kit's own version constant (the kit package.json for rn/web/node; RUNTIME_VERSION / RuntimeVersion in the kit's thresholds file for the rest). Returns latest_version, a behind/current/ahead verdict, what changed, what updating involves (repair_steps: true for that as ordered steps), and kit_download_url — a plain-HTTPS address serving the identical complete kit JSON (same project key), useful if any installed kit file is missing or truncated regardless of version.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
runtimeNoWhich runtime's kit to check, matched to the project you are in. Defaults to 'rn' (React Native) when omitted.
repair_stepsNoReturn what updating involves as ordered steps. Default false, which states it as a finding instead.
installed_versionNoThe kit version currently installed in this project.

TDQS

A4.3/5.0
Behavior5/5

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

Annotations already mark this read-only and non-destructive, and the description adds substantive behavioral detail beyond that: it names the exact return fields, explains that repair_steps: true returns ordered steps, and discloses that kit_download_url is a plain-HTTPS address serving the identical complete kit JSON for the same project key. This is unusually transparent for a read-only check.

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 and front-loaded with the main purpose, and almost every clause carries useful information. It loses a point because it repeats the full runtime enum that the schema already defines, and the single run-on sentence is harder to parse than a short structured break-down would be.

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?

There is no output schema, so the description carries the full burden of explaining return values; it does so thoroughly, including the verdict, changed content, repair steps, and download URL. It also covers parameter format edge cases and a practical download-URL use case. For a non-destructive three-parameter check, this is complete.

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?

Schema description coverage is 100%, so the baseline should be 3. The description adds real value by explaining how installed_version should be expressed differently per runtime (package.json vs RUNTIME_VERSION / RuntimeVersion), and by tying repair_steps to the output shape. That extra semantic clarification justifies a 4.

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 names the operation ('Whether a newer Boosthis kit exists'), the resource (the kit for THIS project), and the main outcome (a behind/current/ahead verdict plus latest_version). It does not explicitly contrast itself with siblings like boosthis_release_check or boosthis_verify_kit, so it misses the full top score, but the core purpose is unambiguous.

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 gives clear context for when to call it: you want to know whether a newer kit exists for the current project and what updating would involve. It also adds a special use case (missing or truncated files, regardless of version). It never says when not to use it or points to an alternative tool, so it stops short of 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

A3.9/5.0
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.

Resources