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ruya-grp

fusion-query-mcp

by ruya-grp

fusion_bootstrap

Bootstraps missing BI Publisher reports that table/column inspection tools require, so metadata queries work on a fresh Oracle Fusion pod. Bundled SQL only; existing reports are skipped.

Instructions

Create the exploration reports this pod is missing, from shipped SQL.

Call this when fusion_list_tables / fusion_describe_table / fusion_search_columns / fusion_describe_flexfields fail on a pod that is otherwise healthy: each of them runs a BI Publisher report that has to exist in the catalog first, and a fresh pod has none of them. A passing fusion_health_check does NOT cover this -- the connection can be perfect while the catalog is empty.

No SQL is accepted from you. The four statements are files inside this package, held to their declared columns and binds by offline tests; this tool only chooses whether to send them. It is therefore much narrower than fusion_author_report, and gated separately (fusion.allow_bootstrap).

Safe to call twice: an object already in the catalog is reported as skipped, never replaced and never deleted. Replacing one is a human decision, made with fusion-query-bootstrap --force in a shell.

Each new report is run once with pillar-neutral probe binds and its parameter echo checked. A report whose echo fails is left in the catalog but NOT registered, and reported as failed -- it would otherwise answer the same thing whatever it was asked.

Args: only: Bootstrap just these reports, e.g. ["list_tables"]. Default: all four. folder: Catalog folder to create them in. data_source: BI Publisher data source. Default ApplicationDB_FSCM; an HCM-only pod needs its own, e.g. ApplicationDB_HCM.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
onlyNo
folderNo/Custom/MCP
data_sourceNo

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

A5/5.0
Behavior5/5

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

The description discloses behavior far beyond the annotations: it is safe to call twice, existing catalog objects are skipped and never replaced or deleted, replacement requires a human decision via a shell command, and each new report is echo-checked with a failure mode of being left in the catalog but not registered. This is rich, actionable context not available from readOnlyHint, destructiveHint, or idempotentHint.

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 dense but every sentence earns its place: purpose, trigger conditions, scope boundaries, safety/idempotency, failure semantics, and parameter explanations are each clearly separated. The first sentence front-loads the core purpose, and the Args section is tight and scannable.

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 complex bootstrap tool with 3 parameters, no required fields, and an output schema already present, the description covers all necessary context: when to call it, what it does not do, side effects, failure handling, and parameter defaults. Nothing an agent needs to invoke it correctly is missing.

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?

Schema description coverage is 0%, so the description carries the full burden of explaining all three parameters. It does so thoroughly: 'only' is shown with an example and default behavior ('all four'), 'folder' is given a purpose and default, and 'data_source' is explained with pod-specific guidance and an example ('ApplicationDB_HCM'). This compensates fully for the empty schema descriptions.

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 opens with a specific verb and resource: 'Create the exploration reports this pod is missing, from shipped SQL.' It explicitly names the affected sibling tools (fusion_list_tables, fusion_describe_table, fusion_search_columns, fusion_describe_flexfields) and differentiates itself from fusion_author_report, so an agent can identify its role without inspecting schemas.

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?

It gives an explicit trigger condition: 'Call this when fusion_list_tables / fusion_describe_table / fusion_search_columns / fusion_describe_flexfields fail on a pod that is otherwise healthy.' It also states a clear exclusion: a passing fusion_health_check does NOT cover this, and it contrasts itself with fusion_author_report, giving unambiguous routing guidance.

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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