machine_sources
List ARAKEL official-source adapters and configuration status
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
List ARAKEL official-source adapters and configuration status
| 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?
No annotations are provided, so the description carries the behavioral burden. 'List' implies a read-only operation, but the description does not clarify what 'configuration status' actually contains, whether any prerequisites exist, or what kind of output to expect. Basic but not richly transparent.
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, focused sentence that leads with the action and immediately identifies the subject. There is no filler or redundant phrasing.
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 listing tool, the description is nearly sufficient. The main gap is that 'configuration status' is vague and the absence of an output schema means the agent gets no further details about the return shape, but the low complexity keeps this from being a major deficiency.
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 fully covers parameter semantics. The description adds context about the resource being listed, which is appropriate, and the baseline of 4 applies here.
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 ('List') and names a concrete resource ('ARAKEL official-source adapters and configuration status'), making the primary function clear. It does not explicitly differentiate from sibling tools, but the resource name is specific enough to avoid major ambiguity.
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 guidance is given about when to use this tool versus siblings such as coverage_status, discovery_status, or machine_quote. An agent must infer selection entirely from the tool name and minimal resource description.
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.
Several tools have heavily overlapping roles: 'quote' and 'machine_quote' both appear to offer free preflight quotes and x402 pricing, while 'coverage' and 'coverage_status' both relate to observation/watch coverage. 'catalog' and 'machine_sources' also blur the line between listing products and listing source adapters. An agent would likely struggle to pick the correct tool without deeper context.
All tool names use lowercase snake_case and mostly follow a noun/status pattern. The 'machine_' prefix creates a recognizable subgroup, and quote-related names are clearly grouped. Minor inconsistency exists because some names are action-oriented (batch_quote, catalog) while others are status-oriented (coverage_status, discovery_status), but the overall style is coherent.
Ten tools is a reasonable, well-scoped count for a specialized evidence/quote/status service. Each tool addresses a distinct operational concern: quotes, coverage, status, catalog, sources, and telemetry. The count does not feel inflated or too thin.
The server covers preflight quoting, coverage checks, catalog listing, status, sources, and sales telemetry, but conspicuously lacks any tool for purchasing, paying, or retrieving completed evidence/proofs. The quote descriptions repeatedly reference x402 payment and payable batches, yet there is no obvious order or fulfillment endpoint. This creates a dead end for agents trying to complete a transaction.