FlexOrch MCP

Process Document

document.process

Submit a document for processing — this is always the first step (Step 1 of 5).

Downloads the file from file_url, then submits it to FlexOrch for automatic
classification, structured field extraction, PII detection/masking, and quality
scoring. Processing is asynchronous — this tool returns immediately with a
job_id. You MUST call job.status(job_id) every 3–5 seconds until
status='completed' before calling job.result.

Args:
    file_url: Publicly accessible URL of the document (http/https only, max 50 MB).
              Supported: PDF, DOCX, TXT, XLSX, HTML, XML, EML, JPG, PNG, TIFF.
    mask_pii: Replace detected PII (names, IDs, emails, phone numbers) with
              [MASKED_TYPE] placeholders in all output. Default: true.
    document_type: Optional classification hint — FlexOrch auto-detects if omitted.
                   Values: invoice, expense_report, purchase_order,
                   sales_proposal, bank_statement, payroll.

Input Schema

TableJSON Schema

Name	Required	Default
`file_url`	Yes
`mask_pii`	No
`document_type`	No	auto

Output Schema

TableJSON Schema

Name	Required	Description	Default
`error`	No
`job_id`	No
`status`	No
`isError`	No
`poll_hint`	No

Schema Changelog

Changes observed during successful MCP inspections.

First observedSep 3, 2026

TDQS

A4.8/5.0

Behavior5/5

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

Annotations are minimal (readOnlyHint=false, idempotentHint=false), so the description carries the burden — and it delivers: it discloses async behavior (returns immediately with job_id), a REQUIRED polling protocol with cadence, file constraints (http/https, 50 MB, supported formats), and the masking default. These are exactly the non-obvious behaviors that would trip an agent.

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?

Each paragraph earns its place: purpose and step position up front, then pipeline mechanics, then the mandatory async protocol, then parameter docs required by the 0% schem coverage. No rdundncy; the most actionable information (polling cadence, call ordering) is front-loaded.

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?

Complete for a complex async tool: pipeline stages, job_id return, explicit next-step workflow, parameter semantics, and file constraints are all covered. An output schema exists so crediting return details is correctly left to it; the only trivial gap is that document_type's value list omits the 'auto' default from the schem.

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 coverage is 0% (only titles and defaults), so the description fully compensates: it annotates the meaning of each param, the URL access and size/sformat constraints for file_url, the [MASKED_TYPE] placeholder behavior for mask_pii, and the auto-detection fallback plus value list for document_type. It adds meaning far beyond the schem.

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 and resource ('Submit a document for processing') and anchors it as Step 1 of 5, immediately separating it from mid- and post-processing siblings like job.status and document.reprocess. The pipeline description (classification, extraction, PII masking, quality scoring) makes the tool's function unmistakable.

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

Usage Guidelines4/5

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

Gives clear when-to-use context: this is always the first step, and spells out the mandatory follow-on flow of polling job.status every 3–5 seconds before job.result. However, it never names exclusions or an alternative for already-processed documents (document.reprocess), leaving the when-not-to-use case implicit.

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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