Skip to main content
Glama

OpenEvidence Ask

oe_ask

Submit a question via a browser relay to get a pending status immediately, or wait for the answer. Supports follow-up questions.

Instructions

Create a question. Fire-and-forget by default: returns {article_id, status:'pending'} immediately so the browser tab is free for other sessions — fetch the finished answer later with oe_article_get (optionally wait_for_completion:true). Pass wait_for_completion:true here to block and return the answer in one call. For a follow-up question pass original_article_id. Submits POST /api/article through the connected browser-extension relay (runs in your real logged-in tab, DataDome-free); the direct Node POST is deprecated and no longer attempted. Requires the relay extension to be connected (see extension/README.md).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
questionYes
original_article_idNo
wait_for_completionNo
timeout_secNo
poll_interval_msNo
disable_cachingNo
personalization_enabledNo
article_typeNoAsk OpenEvidence Light with citations
variant_configuration_fileNoprod
save_artifactsNo
crossref_validateNo
include_bibtexNo
Behavior4/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It reveals the fire-and-forget default, blocking option, relay dependency, deprecation of direct Node POST, and the DataDome-free context. It does not mention rate limits or authentication beyond the relay, but overall transparency is high.

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

Conciseness4/5

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

The description is well-structured, starting with the core action and default behavior, then detailing the blocking option and follow-up capability, and ending with technical prerequisites. It is efficient but could be slightly more concise without losing key information.

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

Completeness3/5

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

Given 12 parameters and no output schema, the description covers the main workflow and return format for the default case. It lacks details on the blocking response structure and does not explain many optional parameters. It is adequate but leaves gaps for a comprehensive understanding.

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

Parameters2/5

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

Schema description coverage is 0%, so the description must add meaning to parameters. It only explains wait_for_completion and original_article_id. The remaining 10 parameters (timeout_sec, poll_interval_ms, disable_caching, etc.) are not described, leaving the agent without guidance on their purpose beyond the schema's defaults.

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 clearly states the tool creates a question, explains the default fire-and-forget behavior, and distinguishes from its sibling oe_article_get by noting that the answer can be fetched later. It also mentions follow-up questions via original_article_id, making the purpose specific and unambiguous.

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?

The description provides clear guidance on when to use fire-and-forget versus blocking mode, how to handle follow-ups, and the prerequisite of the relay extension. It does not explicitly state when not to use the tool but implies it via the alternative oe_article_get. A score of 4 reflects clear context without explicit exclusions.

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/htlin222/openevidence-mcp'

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