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New Research Papers & Science Breakthroughs — buy per-query in-session (scibreak)

data_preview

Read-onlyIdempotent

✅ No API key needed — call this now. Listing: scibreak: New Research Papers & Science Breakthroughs. Price 0.01 USDC/query (max 20 queries/session). Sample questions: What are the newest AI research papers?; Any new astrophysics papers this week?. FREE preview — no key, no payment. Try one of the sample questions now.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugNoPublic listing slug. Defaults to the routed session's listing when connected via /mcp/data/{slug}/http.
questionNoOptional free-text question you'd ask this data (echoed back).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3/5.0
Behavior2/5

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

The description adds useful context about not needing an API key and being free, but it also includes 'Price 0.01 USDC/query' while claiming 'FREE preview — no key, no payment', creating ambiguity about whether this call costs money. It also fails to disclose that only public metadata is returned, leaving that to the schema description.

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

Conciseness2/5

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

The description is repetitive ('No API key needed' and 'FREE preview — no key, no payment' say essentially the same thing) and mixes irrelevant pricing details into a supposedly free preview. It is not tightly structured around the tool's function.

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

Completeness2/5

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

With no output schema, the description should state what the caller receives, but it only implies a preview and leaves return behavior to the schema description. The unresolved pricing ambiguity and lack of a clear statement of what is returned make it incomplete, though the tool is simple and annotations cover safety.

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% with clear descriptions for both slug and question. The description adds value by providing concrete sample question values and encouraging their use, which helps an agent understand what the question parameter is for.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description identifies a free preview of the scibreak listing and invites the user to try sample questions, so an agent can infer the tool previews listing data. However, it reads more like promotional copy than a precise verb+resource statement and does not explicitly say 'returns public metadata for a listing'.

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

Usage Guidelines3/5

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

The description implies usage as a free, no-key entry point ('No API key needed — call this now', 'FREE preview'), but it never names alternatives such as data_session_open or data_session_query, nor does it state when not to use this tool. Sample questions provide practical examples but no explicit selection criteria.

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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