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get_application_demo_config

Read-only

Read an Application's saved demo configuration: the env entries (name, value, secret flag) and throwaway-database flag every demo launch lane inherits (portal launches, deploy_pr_demo, SCM-webhook auto-previews). Secret entries show their ${SECRET_SLOT:} sentinel, never a resolved value. Also reports the full-stack stack profile and shared base stack the application's demos depend on, when configured - read-only context an update never touches. Read this before update_application_demo_config - the update replaces env and database wholesale.

Input Schema

NameRequiredDescriptionDefault
application_idYesThe Application whose demo configuration to read.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, so safety is covered, but the description adds real behavioral context beyond that: secret entries surface a ${SECRET_SLOT:<uuid>} sentinel rather than a resolved value, and the stack-profile/base-stack data is described as read-only context an update never touches. This closes the main surprise an agent could hit (unresolved secrets) without a full 5, since it doesn't describe pagination or shape of the response.

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?

Front-loaded with the verb and resource, then layered with return details and the update relationship. Sentences are dense and the parenthetical launch-lane list is slightly heavy, but nearly every clause carries decision-relevant information.

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?

No output schema exists, so the description carries the return-value burden and does so thoroughly: env entries, database flag, secret sentinel behavior, stack profile and shared base stack. Combined with the read-before-update guidance, an agent has everything needed to call it correctly.

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 100% and the single application_id parameter is already documented. The description implies what is read but adds no format or identifier-syntax guidance for the parameter itself, so the schema does the work — a baseline 3.

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?

States a specific verb (Read) and resource (an Application's saved demo configuration), then enumerates exactly what that configuration contains: env entries with name/value/secret flag and the throwaway-database flag. It explicitly names the sibling it complements (update_application_demo_config), so an agent can separate it from any other get_* or update_* tool.

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?

Gives an explicit ordering rule: "Read this before update_application_demo_config," and explains why by noting the update replaces env and database wholesale. This is precisely the when-to-use guidance plus the alternative it pairs with.

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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