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Design Automation Stack

design_automation_stack

Turn a vague automation request into a tool/MCP/plugin/skill stack, permissioned account route, workflow phases, validation pack, and live-action boundary.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
goalYesPlain-language automation goal.
riskNo
domainNoOptional domain hint such as email_docs, ecommerce_data, knowledge_base, coding.
languageNo
userTypeNoNon-developer, solo operator, small team, developer, agency, etc.
currentToolsNoTools/plugins/MCPs already available to the user.

Schema Changelog

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

  1. First observed

TDQS

B3.1/5.0
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations provided, so description bears full burden. It describes outputs but omits behavioral traits: no mention of side effects, permissions requirements, rate limits, or whether the operation is read-only. The word 'turn' suggests processing but lacks safety disclosure.

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

Conciseness4/5

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

Single sentence that is front-loaded, listing all deliverables compactly. No filler or redundancy. Could be slightly clearer on the output structure, but it is efficiently structured.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With 6 parameters, no output schema, and no annotations, the description is too vague. It lists output components but does not explain what each means, how they relate, or what the response looks like. Sibling tools exist, but no guidance on coordination.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 67%, moderate. The description only hints at 'goal' via 'vague automation request' and does not clarify the meaning of risk, domain, language, or other parameters. The description adds marginal value 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?

Description uses a specific verb ('turn') and resource ('vague automation request') and lists concrete output components (tool/MCP/plugin/skill stack, etc.), clearly distinguishing it from siblings like audit_automation_plan or build_validation_pack.

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 explicit guidance on when to use this tool versus alternatives. The description implies it's for vague requests but does not state conditions, prerequisites, or when to prefer sibling tools.

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
Disambiguation5/5

Each tool has a clearly distinct purpose: audit, intake, contract, validation, design, prompt generation, and recommendations. No two tools overlap in functionality, ensuring an agent can select the right tool without confusion.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern in snake_case, with verbs like audit, build, design, generate, and recommend, and descriptive noun phrases. This uniformity makes the tool set predictable and easy to navigate.

Tool Count5/5

With 7 tools, the server covers the essential stages of automation design from intake to auditing without being sparse or overwhelming. The count is well-scoped for the domain.

Completeness5/5

The tool set covers the complete lifecycle of designing a no-shell automation: intake, design, validation, contract generation, prompt creation, and auditing. There are no obvious gaps in the workflow.