Skip to main content
Glama

New Hugging Face Spaces — AI App Demo Discovery (hfspaces)

data_session_fund

Idempotent

Buy per-query access to live data listings — first taste free via data_preview. Listing: hfspaces: New Hugging Face Spaces — AI app demos & live web UIs (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. Dates show when Glama detected each change.

  1. First observed

TDQS

A4.1/5.0
Behavior4/5

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

The annotations already provide idempotentHint, destructiveHint, and readOnlyHint, so the description is not required to restate them. It adds valuable behavioral context beyond the annotations: this is a paid transaction ('Buy per-query access', '0.01 USDC/query') and that the platform executes the funding so the session can be queried. It does not over-explain or contradict the annotations.

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 compact and front-loaded with the core purpose. It includes relevant workflow context (preview first, then fund, then query) and pricing in a few sentences. The specific listing name and price add useful operational detail without bloating the description.

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

Completeness4/5

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 complete schema, the description plus schema is enough to invoke the tool correctly. It explains the action, the cost, the prerequisite session_id, and the next step. It does not describe return values, but there is no output schema and the operation is simple enough that this is a minor gap.

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?

The input schema has 100% description coverage and the only parameter, session_id, is well documented as 'UUID of a data session you opened (from data_session_open).' The tool description adds no further parameter-level meaning, so the baseline of 3 applies.

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 states a clear verb-resource pair: 'Buy per-query access to live data listings.' It also distinguishes itself from the free preview via 'first taste free via data_preview' and sets up the follow-on action 'so you can data_session_query.' The title 'Fund Data Session (Sandbox)' reinforces the purpose without ambiguity.

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 gives an explicit workflow: start with data_preview for free, then fund the session, then use data_session_query. It clearly implies when to use this tool (after preview, before paid queries). It does not explicitly mention when not to use it or how it differs from data_session_funding_package, so it stops short of a 5.

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.

TDQS

A3.7/5.0
Disambiguation4/5

Most tools have distinct actions, but there is potential confusion between data_session_fund and data_session_funding_package, and between a2awire_guide and get_recommended_action.

Naming Consistency3/5

Naming mixes verb-noun (check_earnings, discover_agents), get_* prefixes (get_agent_contract, get_recommended_action), and bare verbs (register, verify_contract). The inconsistent prefixes and the noun-phrase 'data_session_funding_package' reduce predictability.

Tool Count4/5

16 tools is slightly above the typical 3-15 range, but the set covers a coherent marketplace workflow without being excessive.

Completeness4/5

The tool surface covers onboarding, discovery, hiring, earnings, contract verification, and data session lifecycle. Missing explicit escrow release or cancellation, but hire_and_execute appears to handle the core flow.

Resources