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Glama

show_version

Read-onlyIdempotent

Show the current MCP platform and adapter versions.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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 agent knows it's a safe, non-mutating operation. The description adds that it covers both MCP platform and adapter versions, which is useful context beyond the annotations. No contradiction.

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

Conciseness5/5

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

The description is one concise sentence that directly states the tool's function with no unnecessary words. It is appropriately front-loaded and efficient.

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?

Given there are no parameters and the tool is simple, the description is complete enough. The annotations cover safety profile, and the output schema is absent, but for a version display tool, it's adequate. It could mention the return format, but it's not critical.

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?

The tool has zero parameters, so there is no schema to document. The description appropriately explains what the version information covers, which is sufficient given there are no parameters to explain.

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 states the tool shows current MCP platform and adapter versions, which is specific and distinguishes it from sibling tools like 'toolkit_info' which likely provides broader information. However, it does not explicitly mention that it returns version details for both platform and adapters, but the purpose is clear.

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 description implies it should be used when users want to know the versions, but it does not provide explicit context for when to use it versus other tools. Sibling tools like 'toolkit_info' might also provide version info, but there's no guidance on when to choose this one.

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

B3.4/5.0
Disambiguation4/5

Most tools have clearly distinct purposes, especially the aws_billing_* group. The main ambiguity is between 'connect' and 'toolkit_info', both of which report connection status, and 'authenticate' overlaps slightly with connection management. However, descriptions are detailed enough to reduce misselection.

Naming Consistency2/5

The aws_billing_* tools follow a consistent prefix pattern, but the rest are wildly inconsistent: authenticate, connect, marketplace, report_bug, show_version, toolkit_info. There's no uniform verb-noun convention, and mixed styles (snake_case vs plain words) make the set feel chaotic.

Tool Count3/5

With 10 tools, the count is within the acceptable range. However, the server name suggests AWS Billing, yet only 4 tools are billing-related while the other 6 are generic MCP platform utilities. This scope mismatch makes the count feel inappropriate for the stated purpose.

Completeness2/5

For an AWS Billing server, the surface is missing critical operations: no budgets, alerts, cost allocation tags, or write actions (e.g., creating reports). The read-only cost, forecast, and anomalies cover only basic visibility. The presence of unrelated platform tools further dilutes billing completeness.