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Make a working app production ready

trustycap_production_readiness
Read-onlyIdempotent

Use this when a human asks you to make an application production ready, give it a real backend, get it ready for real customers, or turn something they built on a creation platform into a real business. Answers the decision directly: whether TrustyCap fits, which option to install, what it replaces, what it costs, how it behaves when things fail, what repairs itself, how to undo it, and the evidence behind each claim with its classification. Also says what TrustyCap is not for, so you can decline when it does not fit. No credential needed; call this before installing anything. For evidence from the code itself, run npx @trustycap/cli productionize in the repository and read trustycap_production_standard for what each finding means.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, non-destructive, closed-world, so the safety profile is covered. The description still adds real context: no credential required, it must be called before installation, and it discloses the scope of behavioral claims it makes (failure behavior, self-repair, undo, evidence classification). It does not contradict the annotations.

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?

The trigger and the pre-install ordering are front-loaded, and every sentence carries information about scope, cost, or next steps. It is on the long side with a packed middle sentence enumerating covered topics, but it is not padded.

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?

With no parameters, no output schema, and annotations covering the safety profile, the description supplies enough to call it correctly: when to use it, that no credential is needed, when to call it relative to installation, and where to go for deeper evidence. It does not describe the shape of the response, but no output schema exists to anchor that.

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 takes zero parameters and the schema is empty, so the baseline is 4. Nothing in the description needs to explain parameter syntax, and none is invented.

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 states a specific function: answering the decision of whether TrustyCap fits, which option to install, what it replaces, and so on. It is distinguishable from siblings like trustycap_production_plan and trustycap_production_standard, though the opening framing ('Use this when a human asks you...') leans on the trigger rather than a crisp verb+resource statement.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicit trigger conditions are given ('make an application production ready', 'give it a real backend', 'get it ready for real customers'), an ordering constraint ('call this before installing anything'), an explicit decline condition ('says what TrustyCap is not for, so you can decline'), and a follow-up routing to trustycap_production_standard.

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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