show_version
Show the current MCP platform and adapter versions.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Show the current MCP platform and adapter versions.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is well covered. The description adds the 'current' qualifier, implying dynamic version retrieval, but it doesn't disclose output format or whether any external call is made. This is acceptable for a simple version query.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
A single, focused sentence conveys the tool's purpose without redundancy. The key information, 'current MCP platform and adapter versions,' is front-loaded and every word is meaningful.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a zero-parameter, read-only version-inspection tool, this description is fully sufficient. The annotations cover the behavioral safety aspects, and the description clearly states what information will be shown. No additional context is necessary.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has zero parameters, so the schema already trivially covers everything. The description reinforces that no input is needed by describing a simple show operation. The baseline of 4 applies because there is no parameter complexity to explain.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description uses a specific verb ('show') and resource ('current MCP platform and adapter versions'), clearly distinguishing it from sibling tools like authenticate and report_bug. Even without the title, an agent can tell exactly what this tool does.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Although no explicit when/when-not guidance is provided, the fact that it reports current versions makes its usage context obvious. The sibling tools are unrelated (authentication, bug reporting), so there is no ambiguity about when to select this tool.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
The twelve busca_google_* tools are each tied to a distinct Google vertical, so selecting the right one for a search task is usually straightforward. The only real ambiguity is between busca_google_lugares and busca_google_mapas, and between authenticate/connect, but the descriptions do clarify their different use cases.
The core search tools follow a highly consistent busca_google_<category> snake_case pattern in Portuguese. However, the six platform-management tools use generic English names like authenticate, connect, marketplace, and toolkit_info, creating a mixed convention across the set.
At 18 tools, the server is in the borderline-heavy range. The 12 search tools are individually justified, but the inclusion of 6 unrelated platform/metadata tools makes the overall count feel inflated for a server titled 'Buscador Google'.
The search surface is impressively broad: web, news, images, videos, shopping, academic, patents, places, maps, reviews, suggestions, and page reading are all covered. Minor niche Google surfaces like Trends or Books are absent, but core search workflows have no dead ends.