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OpenEvidence Conversation Page Get

oe_public_get

Retrieve and parse OpenEvidence conversations from /ask/ URLs into question-answer turns with references. Works for public shared links without setup, and for private conversations with cookie authentication.

Instructions

Read an OpenEvidence conversation from an /ask/ link and parse the page into Q&A turns (question, answer as markdown, references). Public (shared) conversations need no setup at all; your own private ones work when the relay extension is connected (your logged-in tab) or cookies.json exists. Use oe_article_get when you want the raw API payload + saved artifacts instead.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesA https://www.openevidence.com/ask/<id> URL, or the bare article UUID.
strip_citation_markersNo
Behavior4/5

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

No annotations provided; description carries full burden. Discloses that it parses into Q&A turns (question, answer as markdown, references) and specifies authentication requirements (public vs private). Lacks explicit read-only declaration but 'Read' implies it.

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?

Extremely concise: three sentences covering purpose, setup, and alternative. No redundant information. Front-loaded with primary action.

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?

With no output schema, description explains output format (Q&A turns with markdown and references). Covers prerequisites and distinguishes from sibling. Minor gap: no explanation of strip_citation_markers behavior.

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 50% (url described, strip_citation_markers not). Description adds context on URL format and output type but does not explain the boolean parameter strip_citation_markers, leaving it unclear.

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?

Clearly states it reads an OpenEvidence conversation from an /ask/<id> link and parses it into Q&A turns. Distinguishes from sibling oe_article_get which retrieves raw API payload.

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?

Explicitly explains when to use vs not: 'Use oe_article_get when you want the raw API payload + saved artifacts instead.' Also details setup needs for public vs private conversations.

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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