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ScienceNews Magazine Articles — buy per-query in-session (scinewsmag)

data_preview

Read-onlyIdempotent

✅ No API key needed — call this now. Listing: scinewsmag: Science News Magazine Articles. Price 0.01 USDC/query (max 20 queries/session). Sample questions: What are the latest Science News articles?; Summarize recent paleontology stories.. 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

B3.1/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false, so the safety profile is covered. The description adds genuinely useful operational context beyond that: no auth key required, a per-query price for the underlying listing, and a session cap of max 20 queries. These auth/cost/rate-limit details are the kind of value structured fields don't provide.

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 text repeats the same message three times ('No API key needed', 'FREE preview — no key, no payment', 'call this now'/'Try...now'), which bloats a two-parameter tool. Embedding a specific listing slug and price in a generic tool description is noise rather than earned content.

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?

For a simple zero-required-param read-only tool with full schema coverage and no output schema, most needs are met. However, the description interleaves a listing price ('0.01 USDC/query') with 'FREE' claims, leaving the actual cost of THIS call ambiguous — a meaningful completeness gap for a capability meant to be called without payment.

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 description coverage is 100%, so both 'slug' and 'question' are fully documented in the schema itself. The description adds only a loose allusion to the question parameter via sample questions and clarifies nothing about slug resolution. Baseline 3 is appropriate when the schema carries parameter semantics.

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

Purpose3/5

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

The title and copy convey a 'free preview of a data listing,' but the description is dominated by listing-specific sales text ('scinewsmag: Science News Magazine Articles') rather than a clean verb+resource statement. It never distinguishes itself from the sibling data_session_query, so an agent must infer the boundary. The clearer scope statement actually lives in the schema description ('guest-callable taste of a listing'), not the tool description.

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?

It implies usage with 'No API key needed — call this now' and 'FREE preview,' suggesting this is the zero-friction entry point before paid queries. However, it never explicitly contrasts with data_session_query or discover_agents, nor states when NOT to use it. Usage is only implied through urgency phrasing.

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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