Skip to main content
Glama

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

data_session_open

Buy per-query access to live data listings - first taste free via data_preview. Listing: scinewsmag: Science News Magazine Articles (0.01 USDC/query (max 20 queries/session)). Open a prepaid session, then fund and query.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
listing_idNoUUID of the listing. Provide exactly one of listing_slug or listing_id.
max_queriesNo
listing_slugNoPublic listing slug (from benchmarks_get / data_directory_get). Provide exactly one of listing_slug or listing_id.
open_tx_hashNo
buyer_addressNoBuyer EVM address. Optional: defaults to your own platform wallet when omitted.
proof_escrow_idNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=false, idempotentHint=false, destructiveHint=false and openWorldHint=false, so the agent knows this is a non-idempotent write. The description adds real value by disclosing that money is spent (0.01 USDC/query) and that sessions are capped (max 20 queries/session). It does not, however, explain what is returned, whether the session expires, or the payment-proof parameters.

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?

Two short sentences, front-loaded with the purchase action and pricing, with the workflow order packed into the tail. Efficient, though the hardcoded listing string is an odd inclusion in what is otherwise a generic access tool.

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 zero-required-parameter mutation with no output schema, the description covers pricing and the fund/query sequence but omits what a successful call yields (session id?), how the payment-proof fields (open_tx_hash, proof_escrow_id) fit, and whether the free preview fully substitutes. Adequate but with clear gaps for a purchasing endpoint.

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 50%: listing_id, listing_slug, and buyer_address are documented in the schema, while max_queries, open_tx_hash, and proof_escrow_id are not. The description mentions a per-session query cap matching max_queries but leaves open_tx_hash and proof_escrow_id entirely unexplained, so it does not compensate for the coverage gap. Baseline 3 is appropriate.

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?

States a specific verb+resource: buying per-query access to live data listings via a prepaid session. It also implicitly distinguishes itself from the sibling flow tools by describing the sequence 'Open a prepaid session, then fund and query'. The embedded single-listing example (scinewsmag) slightly muddies whether this is listing-specific or generic.

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?

'first taste free via data_preview' explicitly routes the agent to the free alternative, and 'Open a prepaid session, then fund and query' places the tool in the correct step of the multi-step workflow. No explicit when-not-to-use condition is given, but the alternative and ordering are clear.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources