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ruya-grp

fusion-query-mcp

by ruya-grp

fusion_list_fixtures

Read-onlyIdempotent

List saved ground-truth fixtures to validate Oracle Fusion Cloud query results against trusted data. Access available fixtures for report validation.

Instructions

List saved ground-truth fixtures available for validation.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

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

  1. First observedv0.1.0

TDQS

A4.1/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, openWorldHint=true, idempotentHint=true, and destructiveHint=false, which strongly cover the safety profile. The description adds minimal behavioral context beyond saying the fixtures are saved and are for validation, but it does not contradict the annotations or present any surprise behavior.

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 delivers the action, resource, and purpose without wasted words. The core function is front-loaded and easy to scan.

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?

For a zero-parameter read-only listing tool with strong annotations and an output schema, the description is complete. It tells the agent what will be listed and why, while the structured metadata covers safety and return shape.

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 has zero parameters and the input schema is fully described by having an empty properties object. There is no parameter documentation burden for the description, so the baseline of 4 applies.

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 uses the specific verb 'List' with an explicit resource ('saved ground-truth fixtures') and states the purpose ('available for validation'). This clearly distinguishes it from sibling tools like fusion_save_fixture and fusion_get_fixture, which imply writing and retrieving individual fixtures rather than enumeration.

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?

There is no explicit when-to-use or when-not-to-use guidance, and no alternative tools are named. However, the phrase 'available for validation' implies the tool is for enumerating saved fixtures before selecting one, so some usage context is present but not fully articulated.

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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