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Check For Update

boosthis_check_for_update
Read-only

Whether a newer Boosthis kit exists for this project, without fetching it: latest_version, update_available, comparison (behind/current/ahead/unknown), the changelog for every release behind, a severity (cosmetic/recommended/important/security) and a recommendation. kit_download_url serves the whole kit. latest_version is authoritative only on the hosted MCP; a local stdio server answers with its own. Withheld reply? Same answer at GET https://www.boosthis.com/api/kit//update (project key as bearer).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
runtimeNoRequired. Which runtime's kit to check; each kit has its own release line, so it is never guessed.
repair_stepsNoAdds step-by-step repair text. Default false.
installed_versionNoThe kit version installed here.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • changedInput schema / properties / repair_steps / description
      Previous value: -"Optional. Adds step-by-step repair text. Default false."New value: +"Adds step-by-step repair text. Default false."
    • changedInput schema / properties / runtime / description
      Previous value: -"Required - which runtime's kit to check, matched to the project you are in. Never guessed: each kit has its own release line."New value: +"Required. Which runtime's kit to check; each kit has its own release line, so it is never guessed."
  2. Changed1 schema field changed
    • changedInput schema / properties / runtime / description
      Previous value: -"Which runtime's kit to check, matched to the project you are in. Defaults to 'rn' (React Native)."New value: +"Required - which runtime's kit to check, matched to the project you are in. Never guessed: each kit has its own release line."
  3. Changed2 schema fields changed
    • changedInput schema / properties / installed_version / description
      Previous value: -"The kit version currently installed in this project."New value: +"The kit version installed here."
    • changedInput schema / properties / runtime / description
      Previous value: -"Which runtime's kit to check, matched to the project you are in. Defaults to 'rn' (React Native) when omitted."New value: +"Which runtime's kit to check, matched to the project you are in. Defaults to 'rn' (React Native)."
  4. Changed1 schema field changed
    • changedInput schema / properties / repair_steps / description
      Previous value: -"Optional. When true, the answer carries step-by-step repair text, not only the finding. Default false."New value: +"Optional. Adds step-by-step repair text. Default false."
  5. Changed1 schema field changed
    • changedInput schema / properties / repair_steps / description
      Previous value: -"Return what updating involves as ordered steps. Default false, which states it as a finding instead."New value: +"Optional. When true, the answer carries step-by-step repair text, not only the finding. Default false."
  6. First observed

TDQS

A3.6/5.0
Behavior4/5

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

Annotations cover only readOnlyHint and openWorldHint, so the description carries the rest, and it does: it details the full response shape (severity tiers, per-release changelogs), a fallback HTTP path for a withheld reply with auth (project key as bearer), and the authoritative-source caveat that a local stdio server reports its own container. These are meaningful behavioral disclosures beyond the annotations, though it omits rate-limit or error-handling specifics.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The content is front-loaded with the core question, but it is a dense run-on listing of outputs, caveats, and a URL, packed with terminology an agent must parse. It is informative yet weakly structured for scanning.

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 no-output-schema read tool with full schema coverage, the description supplies the output vocabulary, the hosted-vs-local nuance, and the REST fallback, so nothing essential to invoking it appears missing. It stops short of covering error or rate-limit behavior.

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%, so the schema already documents runtime, repair_steps, and installed_version. The description adds little per-parameter meaning beyond echoing 'latest_version' and 'kit_download_url' as concepts, so the baseline 3 applies.

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?

States a clear verb+resource (check for a newer kit for this project) plus explicit scope ('without fetching it'). It enumerates the concrete outputs (latest_version, update_available, comparison, changelog, severity, recommendation), which sharply distinguishes it from siblings like boosthis_release_check. It does not name that specific sibling, so it falls short of a 5.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

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

The 'without fetching it' framing implies when to use this (pre-flight check) versus get_integration_kit (which downloads), but no alternative is named and no when-not condition is given. Usage is inferable rather than stated, which lands at a minimum-viable 3.

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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