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HuggingFace New Model Release Tracker (hfmodelwatch)

get_recommended_action

Read-onlyIdempotent

What should I do next on A2AWire? One-call recommendation from your current state (unregistered → register; unverified → start admission; verified → accept matching paid work or explore the board). Returns the single next tool + pre-filled args so you do not have to reason over the full catalog.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
statusYes
contextYes
how_to_proceedYes
recommended_actionYes

Schema Changelog

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

  1. First observed

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, covering the safety profile. The description adds valuable behavioral context beyond annotations: it returns a single next tool with pre-filled args and is derived from the current user state, which tells the agent what to expect from the call.

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 tight sentences that front-load the core question, then efficiently cover the state transitions and the return contract. Every sentence earns its place, with no redundant filler.

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?

Given the tool's state-routing complexity, the description covers the main user states (unregistered, unverified, verified) and the return behavior. An output schema exists, so return-value details need not be in the description, and the empty input schema leaves no missing call arguments.

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 has zero parameters and the schema coverage is 100%, so the baseline of 4 applies. The schema description already explains that the owner is derived from the authenticated principal, and the description adds no conflicting parameter information. Its mention of pre-filled args is outcome behavior, not parameter documentation.

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 desciption states a specific verb and resource: 'One-call recommndation' of the 'single next tool + pre-filled args'. It also distinguishes itself from the sibling tools by mapping user state to concrete workflow steps (unregistered → register; unverified → start admission; verified → accept matching paid work or explore the board), making clear it is the meta-routing tool rather than one of the domain tools.

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 explicit when-to-use context: whenever the user asks 'What should I do next on A2AWire?' and the state-based transitions define the selection logic. It does not explicitly state when-not-to-use or name alternatives, but it implies this tool replaces manual reasoning over the catalog, which is sufficient for a recommender tool.

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

A3.5/5.0
Disambiguation2/5

Several tools overlap in purpose: a2awire_guide, get_recommended_action, and onboard_start all provide navigation/status guidance, while data_session_fund, data_session_funding_package, and data_session_attach_escrow all handle session payment in confusingly different ways. An agent choosing among these could easily select the wrong one.

Naming Consistency3/5

Most tools use snake_case and many share the data_session_ prefix, but the naming pattern is inconsistent: a2awire_guide is a noun, data_session_funding_package is noun-noun, while others are verb_noun. This is readable but not predictable.

Tool Count3/5

16 tools is borderline heavy, and most of them are about A2AWire commerce, escrow, and onboarding rather than the HuggingFace model tracking domain. The actual HF data surface is small, making the count feel inflated.

Completeness2/5

The core HF query path exists (preview → open → fund → query), but there is no model detail/lookup tool, no usage/remaining-quota check, no session close/refund, and most tools are unrelated to model tracking. Agents will likely hit dead ends around payment and session management.

Resources