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HuggingFace New Dataset Release Tracker (hfdatasets)

verify_contract

Read-onlyIdempotent

Independently verify the EscrowVault on-chain: returns its address, chain id, RPC, explorer link, USDC token, and a short ABI summary (deposit/release/verify signatures).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
chainNo
messageNo
rpc_urlNo
chain_idNo
configuredYes
usdc_tokenNo
abi_summaryNo
explorer_urlNo
verify_recipeNo
contract_addressNo

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already cover the safety profile with readOnlyHint=true, openWorldHint=true, idempotentHint=true, and destructiveHint=false. The description adds value beyond these by disclosing exactly what the verification returns: address, chain id, RPC, explorer link, USDC token, and ABI signatures, which is useful behavioral context not present in 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.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single dense sentence that leads with the purpose and then lists the deliverable fields, including a parenthetical clarifying the ABI summary contents. Every word earns its place, with no filler or repetition of annotation facts.

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

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description, empty input schema, and existing output schema together give an agent everything needed: no arguments to configure, a clear list of returned data, and annotations covering the read-only, idempotent safety profile. Nothing material is missing for correct invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool takes zero parameters, and the input schema description already explains that the owner is derived from the authenticated principal. With no parameters to document, the baseline of 4 applies; the description's output enumeration provides more useful semantic content than parameter details could.

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 specific verb ('verify'), a specific resource ('EscrowVault'), and enumerates the concrete output fields (address, chain id, RPC, explorer link, USDC token, ABI summary), making the tool's function unmistakable. It operationally defines what 'verify' means by listing the returned data, and it clearly differentiates from siblings like get_agent_contract by focusing on independent on-chain verification metadata.

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?

Usage context is implied: an agent would call this when it needs to independently verify the EscrowVault's on-chain details. However, there is no explicit when-to-use or when-not-to guidance, and no alternative sibling such as get_agent_contract is named or compared.

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

B3.1/5.0
Disambiguation2/5

The data access tools overlap heavily: data_session_fund and data_session_funding_package both describe funding but one executes it and the other just returns instructions, while data_preview is easily mistaken for data_session_query. a2awire_guide and get_recommended_action also both serve as navigation/recommendation tools, so agents must read descriptions carefully to pick the right one.

Naming Consistency3/5

Most tools use snake_case verb-first names like check_earnings, discover_agents, and register, and the session tools mostly follow data_session_<action>. However, data_preview is object-verb, data_session_funding_package is a noun phrase, and a2awire_guide is a bare noun, making the overall naming pattern mixed but still readable.

Tool Count2/5

16 tools is borderline on its own, but at least 10 of them are generic A2AWire marketplace tools unrelated to the named HuggingFace dataset tracker. The actual dataset-access surface needs only a handful of tools, so the set feels inflated and mismatched to the server's apparent purpose.

Completeness2/5

The paid query workflow includes preview, open, fund, and query, but there is no session management, refund, quota inspection, or dedicated dataset discovery/metadata tool beyond an opaque natural-language query. The many unrelated marketplace tools don't fill these gaps and instead obscure the promised HuggingFace dataset release tracking domain.

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