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Proofpane

Proofpane

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by Proofpane

ingest_to_rag

Upload a local file to a governed RAG corpus. The cloud parses it (PDF/DOCX/HTML/text), scrubs secrets, chunks, embeds, and audits—making content searchable for compliance-ready Q&A.

Instructions

Upload a LOCAL file into the Proofpane governance RAG corpus. The cloud parses it (PDF / DOCX / HTML / text), DLP-scrubs secrets, chunks + embeds it, and audits the ingest. After this, the file's contents are searchable with search_compliance_docs on the returned collection. Use when the user wants a local document made available for governed retrieval / Q&A.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pathYesAbsolute (or cwd-relative) path to the local file to ingest.
collectionNoOptional target collection. Must start with 'ai_gov_' (tenant-namespaced). Omit to use the org's default upload collection.
Behavior4/5

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

With no annotations, the description carries the full burden and does well: it discloses the full pipeline (cloud parsing, DLP scrubbing, chunking/embedding, audit) and the post-condition that contents become searchable on the returned collection. Missing details like permissions or failure modes, but this is substantially transparent for an ingestion tool.

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 three sentences, front-loaded with the action and outcome. Every clause adds value: formats, security, processing, and subsequent searchability. No filler or redundancy.

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 two-parameter tool with no output schema, the description explains end-to-end behavior and tells the agent what the caller gets (a collection usable with search_compliance_docs). It is complete enough to select and invoke correctly in most scenarios.

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

Parameters3/5

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

Schema coverage is 100% and already provides detailed descriptions for both path and collection, including the namespace rule. The description adds a local-file emphasis and the concept of a returned collection, but doesn't materially improve on the schema's parameter guidance, so the baseline 3 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 states exactly what it does: uploads a local file into the Proofpane governance RAG corpus. It clearly distinguishes from siblings like search_compliance_docs by framing this as the ingestion side and explaining that retrieval happens separately.

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?

Explicitly instructs when to use: 'Use when the user wants a local document made available for governed retrieval / Q&A.' It also points to search_compliance_docs as the retrieval alternative. It doesn't explicitly list when-not-to-use scenarios or exclusions, but the usage context is clear.

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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