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Make an AI-built app production ready

trustycap_production_readiness
Read-onlyIdempotent

Start here when a human asks you to make an application production ready, give it a real backend, or get it ready for real customers. 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.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

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

  1. First observed

TDQS

A5/5.0
Behavior5/5

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

Annotations indicate read-only, idempotent, and non-destructive behavior, and the description aligns with this by describing the tool as answering questions and providing evidence rather than performing actions. It also discloses what the tool will not do by saying what TrustyCap is not for, making behavior fully transparent.

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

Conciseness5/5

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

The description is information-dense but not bloated; every sentence and clause adds useful guidance about when to use the tool, what it answers, and what it does not cover. The structure is logical, moving from trigger conditions to decision outputs to limitations.

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

Completeness5/5

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

Given the absence of parameters and output schema, the description fully covers the necessary context: when to call, what decision is made, what information is provided, what is excluded, and prerequisites. It leaves no missing context an agent would need to use the tool correctly.

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

Parameters5/5

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

The tool has no parameters, and the schema coverage is 100%, so there are no parameter semantics to document. The description does not introduce any implicit parameters or inputs, making this dimension trivially complete.

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 this tool is the entry point for production-readiness decisions, specifying when to use it and exactly what decision it answers. It directly addresses whether TrustyCap fits and which option to install, leaving no ambiguity about its purpose.

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?

The description explicitly instructs to call this tool before installing anything and states that no credential is needed, providing clear usage conditions. It also frames the tool as a decision aid for choosing among options, which implicitly guides the agent on when to invoke it.

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

A4.3/5.0
Disambiguation4/5

Each tool targets a distinct resource or decision point—capabilities, launch kits, native kits, and production readiness—but trustycap_guide and trustycap_production_readiness can both respond to a human asking what to build, and guide overlaps somewhat with the list_* tools in matching outcomes. The detailed descriptions resolve most ambiguity, so the set is largely clear.

Naming Consistency4/5

Most tools follow a trustycap_<verb>_<noun> pattern, such as list_capabilities, get_launch_kit, and list_native_kits. trustycap_guide and trustycap_production_readiness break that convention with a bare verb and a noun phrase, but the shared prefix and snake_case style keep the naming mostly predictable.

Tool Count5/5

Seven tools is well-scoped for a reference and decisioning server covering three resource families plus guidance. Each tool has a clear purpose, and there are no redundant entries.

Completeness4/5

The surface covers listing and retrieving Launch Kits and Native Kits, enumerating capabilities, guided matching, and production-readiness evaluation. Minor gaps exist—such as no separate capability-detail tool and no tool to execute or install a kit—but those seem outside the server's informational scope.