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Proofpane

Proofpane

search_compliance_docs

Search governance and compliance documents using natural-language queries. Returns the most relevant chunks with source and relevance scores.

Instructions

Search the Proofpane governance / compliance document corpus via the cloud RAG service. Returns the top N matching chunks with source + relevance score. Default collection + retrieval method come from this agent's rag_config (configured in the Proofpane UI); override per-call with the collection arg when needed.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesNatural-language search query
top_kNoNumber of results (1-20). Omit to use agent default.
collectionNoOverride the agent's default collection. Must start with 'ai_gov_'. Omit to use the agent's configured default.
Behavior3/5

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

No annotations provided, so description carries full burden. Describes basic behavior: search, return chunks with scores, default config and override. Does not mention rate limits, auth needs, or error handling, which is acceptable for a read-only search 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?

Two sentences, front-loaded with main purpose, no fluff. Every sentence adds unique value: what it does, what it returns, and configuration details.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given 3 parameters, no output schema, and simple search function, the description covers key aspects: purpose, return format (chunks with source+score), default behavior, and override option. No major gaps.

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?

Schema coverage is 100% (all params documented). Description adds value beyond schema by explaining default behavior and override mechanism for 'collection' parameter. Provides clarity on how to use the parameters effectively.

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?

Explicitly states it searches the Proofpane governance/compliance document corpus via a cloud RAG service, returning top N matching chunks with source and relevance score. Clearly distinguishes from sibling tools like bash, grep, and read, which serve different purposes.

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?

Provides context on default collection and retrieval method from agent's rag_config, and specifies when to override with the 'collection' arg. Does not explicitly state when not to use it, but the guidance is clear and actionable.

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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