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 read-only and idempotent behavior, and the description's 'Show' is consistent. The description adds value by specifying exactly what is displayed (platform and adapter versions), providing context beyond the annotations.
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, front-loaded sentence that conveys the purpose efficiently without any unnecessary words or details. It earns its place with zero fluff.
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 tool with no output schema, the description is fully sufficient. It clearly states what information is shown, which covers the expected behavior. There are no missing prerequisites, side effects, or return format requirements for such a simple read-only tool.
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 there is no schema coverage issue. The description does not need to explain parameters, and with 0 params, the baseline is 4. No additional parameter semantics are required.
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 clearly states the tool shows current MCP platform and adapter versions, using a specific verb ('show') and a precise object (platform and adapter versions). This distinguishes it from sibling tools like 'toolkit_info' or 'connect', which serve different purposes.
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?
No explicit usage guidance is provided, such as when to use this tool versus alternatives. The zero-parameter nature makes the use case obvious, but the description relies on implication rather than stating exclusions or alternatives.
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.
Each tool has a distinct name and purpose, with clear separation between read and write actions. However, the high number of similarly-prefixed tools (e.g., zapsign_documents_write_*) and the overlap between create and create_from_template could occasionally cause misselection.
Domain tools follow a consistent zapsign_<resource>_<action> pattern, with writes marked by _write_. However, platform-level tools (authenticate, connect, marketplace) break the pattern, and zapsign_list_accounts deviates from the resource-prefix convention.
35 tools is excessive, especially since many are flattened actions from a smaller set of underlying operations. The inclusion of non-domain platform tools further inflates the count, making the tool list feel heavy and harder to navigate.
The core ZapSign domain is well covered: documents, signers, templates, webhooks, checks, and account management all have CRUD-like operations. Minor gaps exist, such as no listing endpoint for checks and no webhook list (due to API limitations), but these are not fatal for typical workflows.