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acorn_huggingface_search
Read-only

Bounded read-only metadata search on the public Hugging Face Hub. Does not execute, download, train, deploy or purchase models. License tags are not authorization for commercial use; verify each original resource card.

Input Schema

NameRequiredDescriptionDefault
kindNo
limitNo
queryYesA public topic only; never personal data or tokens.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, openWorldHint and destructiveHint=false, and the description usefully reinforces the non-execution/non-download boundary so an agent won't mistake this for a model-running tool. The added license caveat ('License tags are not authorization for commercial use') is genuine context beyond annotations. It stops short of describing result shape or entry contents.

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?

Three compact sentences, front-loaded with the core read-only search scope and followed by exclusions and the license warning. No filler, though the license sentence is directed at downstream use rather than at calling the tool correctly.

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?

For a simple three-parameter search with no output schema, the description covers boundaries well but omits anything about what a returned record contains or how results are ordered/paged (relevant given the max limit of 5). Adequate but with a real gap on the discovery output side.

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

Parameters2/5

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

Schema coverage is only 33% – just the query parameter is documented – and the description adds nothing about the three parameters. It does not clarify what 'kind' selects, how 'limit' bounds results, or what constitutes a valid short public-topic query beyond the schema's own constraint.

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?

States a specific verb and resource – 'Bounded read-only metadata search on the public Hugging Face Hub' – with explicit scope (public, metadata-only). This clearly separates it from the sibling commerce tools (offers, checkout, buyer guide) and the other catalog/assistant tools without needing the schema.

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?

Provides strong negative guidance ('does not execute, download, train, deploy or purchase models'), which tells the agent what this is not for. However, it never states when to prefer this over siblings like acorn_public_catalog or acorn_world_ai_integrations, leaving the positive routing decision implicit.

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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