Skip to main content
Glama
ivossos

FCCS MCP Agentic Server

by ivossos

validate_metadata

Check application metadata for errors in Oracle EPM Cloud FCCS to ensure data integrity and compliance with consolidation requirements.

Instructions

Validate application metadata / Validar metadados da aplicacao

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
log_file_nameNoOptional log file name for results

Implementation Reference

  • The main handler function for the 'validate_metadata' MCP tool. It calls the FCCS client to perform metadata validation and wraps the result.
    async def validate_metadata(
        log_file_name: Optional[str] = None
    ) -> dict[str, Any]:
        """Validate application metadata / Validar metadados da aplicacao.
    
        Args:
            log_file_name: Optional log file name for results.
    
        Returns:
            dict: Validation results.
        """
        result = await _client.validate_metadata(_app_name, log_file_name)
        return {"status": "success", "data": result}
  • The input schema definition for the 'validate_metadata' tool, defining the optional log_file_name parameter.
    {
        "name": "validate_metadata",
        "description": "Validate application metadata / Validar metadados da aplicacao",
        "inputSchema": {
            "type": "object",
            "properties": {
                "log_file_name": {
                    "type": "string",
                    "description": "Optional log file name for results",
                },
            },
        },
    },
  • Registration of the 'validate_metadata' tool handler in the central TOOL_HANDLERS dictionary used by the agent.
    "validate_metadata": consolidation.validate_metadata,
Behavior1/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states only 'Validate application metadata', which gives no insight into whether this is a read-only operation, what permissions are required, what happens during validation, or what the output might be. For a tool with no annotation coverage, this is completely inadequate.

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

Conciseness3/5

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

The description is brief but inefficiently structured—it includes a redundant Portuguese translation that adds no value for an AI agent. While short, it fails to front-load critical information, making it appear concise but actually under-specified.

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?

Given no annotations, no output schema, and a vague purpose, the description is insufficient for a tool that likely performs validation (a non-trivial operation). It should explain what 'validation' means in this context, what the expected outcomes are, and how it differs from related tools, but it provides none of this.

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 input schema has 100% description coverage for its single parameter ('log_file_name'), so the baseline is 3. The description adds no parameter-specific information, but since there is only one optional parameter and the schema fully documents it, the impact is minimal. A score of 4 reflects that the description doesn't detract from the schema's completeness.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose2/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description 'Validate application metadata' is a tautology that essentially restates the tool name 'validate_metadata'. It adds a Portuguese translation but provides no specific information about what validation entails, what 'metadata' refers to, or what resources are involved. It fails to distinguish this tool from siblings like 'query_local_metadata' or 'get_application_info'.

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

Usage Guidelines1/5

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

There is no guidance on when to use this tool versus alternatives. The description offers no context about appropriate scenarios, prerequisites, or exclusions. Given siblings like 'query_local_metadata' and 'get_application_info', the lack of differentiation leaves the agent with no basis for choosing between them.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/ivossos/fccs-mcp-ag-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server