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Consumer-Tech Product News — buy per-query in-session (vergewatch)

data_session_fund

Idempotent

Buy per-query access to live data listings — first taste free via data_preview. Listing: vergewatch: Consumer-Tech Product News (0.01 USDC/query). Platform-executes funding so you can data_session_query.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
session_idYesUUID of a data session you opened (from data_session_open).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already indicate this is not read-only, not destructive, and idempotent. The description adds that the platform 'executes funding' and mentions a per-query price, which is useful. However, it does not explain what happens financially, whether funds are committed immediately, or any failure-related behavior, so transparency is only partial.

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 short, front-loads the core purpose, and avoids repetitive filler. The listing-specific pricing detail is relevant, and the reference to data_preview and data_session_query adds orientation without bloating the description.

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 single-parameter tool with a well-documented schema, the description covers the main action and outcome. Still, it omits explicit prerequisites such as having an open session and does not clarify how this relates to data_session_funding_package or data_session_attach_escrow, leaving some context gaps.

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%, with the session_id parameter already documented as 'UUID of a data session you opened (from data_session_open).' The tool description adds no parameter-level detail beyond this, so the baseline of 3 applies.

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 states a concrete action — 'Buy per-query access to live data listings' — and names the outcome: platform-executed funding that enables data_session_query. However, it does not explicitly differentiate itself from sibling data_session_funding_package, so it is clear but not fully distinguished.

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 gives useful context: try the free data_preview first, then fund so you can query. But it never explicitly says when to choose this over data_session_funding_package or data_session_attach_escrow, so usage guidance is implied rather than explicit.

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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