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engineering_design_loop

Destructive

Executes an engineering design cycle for a given objective, accepting optional structured inputs to guide the agent.

Instructions

Run the engineering domain agent action engineering_design_loop.

Routes through the platform's domain-agent dispatcher under your JWT, tenant, and company scope.

Args: message: Free-text objective for the action. inputs: Optional JSON string of structured inputs for the action.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
inputsNo{}
messageNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.4/5.0
Behavior3/5

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

Annotations already convey readOnly=false, destructive=true, idempotent=false, so the agent knows this mutates state. The description adds execution routing context (dispatcher, JWT, tenant, company scope), which is some added context. However, it doesn't describe typical side effects, potential for long-running loops, or required permissions beyond scope.

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

Conciseness3/5

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

The description is short and has a clean Args structure, so it is easy to scan. However, the first sentence is redundant with the tool name, and the routing sentence adds only infrastructural detail. It earns its keep but is not maximally informative.

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?

For a domain-agent 'design loop' tool with many siblings, the description lacks a definition of what the design loop is for, what a good message looks like, and what happens after invocation. An output schema exists, but the agent still can't properly decide when to invoke or how to formulate inputs. The routing/scope context does not close that gap.

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 description coverage is 0%, so the description must carry parameter meaning. The Args block adds terse semantics: message is a free-text objective, inputs is an optional JSON string. That is real added meaning beyond the schema titles, but it stays shallow—no examples, no instruction on how inputs and message combine, and no expected JSON shape.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose2/5

Does the description clearly state what the tool does and how it differs from similar tools?

The opening sentence merely restates the tool name ('Run the engineering domain agent action engineering_design_loop'), making it close to a label. It never states what the design loop does, what outcome it drives, or how it differs from engineering_create_spec, engineering_query_analytics, or software_delivery_loop. The only additional content is the routing mechanism, not a functional purpose.

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 when-to-use or alternative guidance appears. The description says it routes through the dispatcher under auth/scope, which is context about execution, but doesn't say when an agent should pick this over sibling tools. With hundreds of engineering/software/loop siblings, this absence is noticeable.

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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