list_configs
List the organization's AirPipe configurations.
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| organization_uuid | Yes |
Air Pipe
by io.airpipe
Schema Changelog
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
- First observed
TDQS
C2.5/5.0
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries full burden. It only states the basic read operation, but omits details like pagination, sorting, filtering, or what data is returned.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single sentence, which is concise but too minimal. Important details are missing, making it under-specified rather than appropriately concise.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given no output schema, no annotations, and 0% schema description coverage, the description is highly incomplete. It fails to explain response format, filters, sorting, or any other context needed for an AI agent.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema has 0% description coverage for parameters, and the description adds no explanation for the organization_uuid parameter. It does not clarify format, context, or purpose beyond the schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool lists organization's AirPipe configurations. The verb 'list' and resource 'configurations' are specific, and it distinguishes from sibling tools like create_config, get_config, etc.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance on when to use this tool versus alternatives like get_config (for a single config) or list_modules. No conditions or exclusions mentioned.
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
B3.3/5.0
Disambiguation5/5
Each tool targets a distinct resource (config or module) and action (create, read, update, delete, deploy, etc.), with clear descriptions that avoid overlap. No two tools appear to perform the same function.
Naming Consistency5/5
All tool names follow a consistent verb_noun pattern in snake_case (e.g., create_config, list_modules), with occasional specificity like deploy_config_revision. No mixing of conventions or unexpected naming.
Tool Count4/5
At 19 tools, the count is slightly above the typical 3-15 range but still well-scoped for a configuration management server covering CRUD, deployment, revision history, validation, and planning. Each tool earns its place.
Completeness4/5
The tool surface covers the full lifecycle of configurations and modules (create, read, update, delete, deploy, undeploy, toggle, validate, plan, edit). Minor gaps like bulk operations or search are absent but not critical for the domain.