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huytrao
by huytrao

qa_seed_questions

Seed test questions for a specified game and levels through the local fixture control plane, enabling deterministic QA scenarios. Provide game_id, levels, and confirmation to populate test data.

Instructions

Seed test questions through the opt-in local fixture control plane.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
levelsNo
confirmYes
game_idNo

Schema Changelog

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

  1. First observedv0.1.0

TDQS

B3/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden. 'Seed' suggests a mutating operation and 'opt-in local fixture control plane' hints at a local, gated environment, but the description does not disclose side effects, whether data is added or replaced, idempotency, or what confirmation is required. The required 'SEED_TEST_DATA' confirm const appears only in the schema, not the description.

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?

A single sentence with no redundancy; it front-loads the action and resource. Every word earns its place, even though the jargon 'opt-in local fixture control plane' is dense.

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 mutating/seed tool with no annotations, no output schema, and 0% parameter coverage, the description leaves too much unsaid. An agent would not know the purpose of the optional fields, whether confirm is mandatory for execution, or what successful seeding looks like.

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

Parameters2/5

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

Schema description coverage is 0%, and the description names none of the parameters. It adds little meaning beyond the schema's self-explanatory names and enum for 'game_id', and it does not explain how 'levels', 'game_id', and 'confirm' interact or what values are valid in context.

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 uses a specific verb ('Seed') with a clear resource ('test questions') and places it in an 'opt-in local fixture control plane,' giving the agent a solid idea of what the tool does. It is distinguishable from the many qa_get_* read tools and from qa_reset_test_user, but it does not explicitly identify how it differs from sibling setup/write tools like qa_set_game_level.

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

Usage Guidelines3/5

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

The phrase 'opt-in local fixture control plane' implies this is for local test-fixture setup, and sibling names suggest it is one of the mutating/setup tools. However, the description gives no explicit when-to-use or when-not-to-use guidance, no prerequisite, and no mention of alternatives.

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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