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

data_preview

Read-onlyIdempotent

✅ No API key needed — call this now. Listing: hfspaces: New Hugging Face Spaces — AI app demos & live web UIs. Price 0.01 USDC/query (max 20 queries/session). Sample questions: What AI app demos were just created on Hugging Face Spaces?; Show the newest gradio or streamlit Spaces shipped this hour. 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. Dates show when Glama detected each change.

  1. First observed

TDQS

B3.1/5.0
Behavior4/5

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

Beyond the readOnly/idempotent annotations, the description adds useful behavioral context: no API key is needed, it is free, and there is a 'max 20 queries/session' limit. It does not contradict the annotations. The 'Price 0.01 USDC/query' line is potentially confusing because it appears right next to 'FREE preview,' but the free-preview claim is restated clearly.

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 and promotional: 'No API key needed', 'FREE preview — no key, no payment', and 'Try ... now' all make the same point. It is not tightly structured and mixes listing metadata (price, max queries) with tool instructions. A more direct sentence such as 'Returns public metadata preview for a listing' would be clearer and shorter.

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?

The annotations and schema already cover safety and parameter meaning, so the description does not need to re-explain them. However, there is no output schema and the description never states what the preview actually returns; the sample questions can mislead an agent into expecting query results. It is adequate but not complete for an agent choosing between this and paid session tools.

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 schema already covers both parameters with full descriptions, so the baseline is 3. The description contributes concrete example values: the slug 'hfspaces' and two sample questions. It does not deepen the meaning of 'slug' or 'question' beyond what the schema provides, and it does not clarify that the question is echoed back.

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 description says 'FREE preview' and names a specific listing ('hfspaces: New Hugging Face Spaces'), so it gestures at previewing a data listing. But the wording is promotional rather than a direct verb+resource statement, and the sample questions make it seem like the tool answers arbitrary data questions when the schema says the question is only echoed back. It is not a tautology, but the purpose is muddled.

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 strongly signals 'No API key needed — call this now' and 'FREE preview — no key, no payment,' implying this is the low-friction way to try a listing. However, it never explicitly says when to use this instead of sibling tools like data_session_query or when a preview is not sufficient. Usage context is implied rather than spelled out.

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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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