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. The description adds no extra behavioral context beyond restating that it shows versions, which is consistent with the annotations. It does not disclose potential error conditions or the exact format of the response, but with annotations covering the safety profile, a moderate score is appropriate.
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?
The description is a single, concise sentence that states the exact purpose with no filler words. It is front-loaded and every word earns its place.
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 simple, zero-parameter read-only tool with annotations and no output schema, the description fully captures the tool's scope. There is no missing information that an agent would need to invoke it correctly.
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 fully covers them by default. The description does not need to add parameter semantics, and the baseline of 4 for zero parameters is appropriate.
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 the specific verb 'Show' and clearly identifies the resource: 'the current MCP platform and adapter versions.' It distinguishes itself from all sibling tools, which are primarily consultation or authentication tools, by being the only one that displays version information.
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?
The purpose of the tool is self-evident: to display version information. This gives clear context for when to use it, though it does not explicitly state when not to use it or mention alternatives like toolkit_info.
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.
Every tool has a clearly distinct purpose. The consulta tools target specific databases (CND, FGTS, trademarks, sanctions) with descriptive names, and the administrative tools (authenticate, marketplace, etc.) are unrelated to the queries. No two tools appear to perform the same function.
The majority of tools follow a consistent 'consultas_' prefix with descriptive suffixes, but the administrative tools (authenticate, connect, marketplace, report_bug, etc.) break the pattern with plain verb/noun names. This creates two distinct naming conventions within the same server.
At 29 tools, the set is bloated. The inclusion of a full marketplace tool and generic admin/version/feedback utilities goes beyond the core 'consultas' purpose, making the count feel excessive. The query tools themselves are numerous but could be trimmed.
The set covers a wide range of Brazilian data consultations, from debts and tax status to trademarks, patents, and sanctions. Minor gaps exist (e.g., no general court case search beyond SEEU), but the core domain is well covered and agents can accomplish most common query tasks.