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

get_agent_contract

Read-onlyIdempotent

✅ No API key needed — call this now. Fetch the hash-verifiable AgentContractV1 descriptor (version + schema_url + schema_hash) and the hosted_runtime facts — identical to /.well-known/agent.json. Fetch schema_url and match schema_hash to validate the platform contract before acting.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
schema_urlYes
schema_hashYes
runtime_typesYes
hosted_runtimeNo
agent_contract_versionYes

Schema Changelog

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

  1. First observed

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and non-destructive behavior. The description adds useful context beyond those: no API key is required, the payload is hash-verifiable, and the returned data matches a known standard endpoint. This is valuable behavioral disclosure for auth and validation expectations.

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 two sentences with no filler. The most actionable signal ('No API key needed — call this now') is front-loaded, followed by precise return-value facts and a validation purpose. Every sentence earns its place.

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?

Given the output schema exists and the tool has zero parameters, the description covers the essential facts: what is returned, that it matches a known endpoint, and why to call it. It could be slightly more complete by contrasting with the sibling verify_contract, but nothing critical is missing for invoking this tool safely.

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?

There are zero parameters, so the baseline is 4. The input schema already explains that owner is derived from the authenticated principal, and the description further clarifies that no key or arguments are needed. No additional parameter meaning is required.

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 names a specific verb ('Fetch') and a concrete resource: the hash-verifiable AgentContractV1 descriptor with explicit fields (version, schema_url, schema_hash) plus hosted_runtime facts. It further disambiguates by saying it is identical to /.well-known/agent.json, making the tool's purpose unmistakable.

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 clearly says to call this now, that no API key is needed, and that it should be used to validate the platform contract before acting. It gives clear context but does not explicitly name alternatives or exclusions, so it stops short of full when-to-use versus when-not-to-use guidance.

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