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Free2AITools

by com.free2aitools

free2aitools_compare

Compare 2-25 AI catalog entities side-by-side — any catalog entity type (models, datasets, papers, tools), not models only — showing FNI scores, factor breakdown (Semantic, Authority, Popularity, Recency, Quality), specs (params, VRAM, context length) where applicable, and license. USE WHEN you already have 2+ specific entity ids and want a structured side-by-side. DO NOT USE to discover entities, to run/execute a model, or to get a recommendation; the tool presents comparison facts for the caller to decide on, is not an inference router, and returns no paid placement. Read-only, no side effects, no billing. Cold upper-range multi-paper requests may return a transient 503 (retry after the indicated delay). Use free2aitools_select_model or free2aitools_search to discover candidates first, then compare the top ones.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idsYesCatalog entity IDs to compare (2-25), any entity type. Use the id from search/rank/select_model results verbatim (e.g. ["hf-model--meta-llama--llama-3-8b", "arxiv--2401.00001"])

TDQS

A4.6/5.0
Behavior5/5

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

No annotations are provided, so the description fully bears the burden. It states the tool is read-only with no side effects or billing, notes a potential transient 503 error for cold multi-paper requests with retry guidance, and clarifies it is not an inference router and returns no paid placement. These details exceed typical behavioral disclosure.

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 well-structured: core action first, then usage conditions, then behavioral details, and finally a pointer to sibling tools. Every sentence adds value without redundancy. It is appropriately sized for the complexity.

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?

Despite no output schema, the description lists what the comparison shows (FNI scores, factor breakdown, specs, license) and mentions error conditions (503). It lacks a description of the output format but is sufficiently complete for an agent to understand the tool's capabilities and limitations.

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?

Schema description coverage is 100%, so baseline is 3. The tool description does not add further meaning beyond what the input schema already provides (e.g., id format, count range). The description repeats the schema's example but adds no new semantic detail.

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 clearly states the tool's purpose: compare 2-25 AI catalog entities side-by-side, listing what it shows (FNI scores, factor breakdown, specs, license). It distinguishes from siblings by explicitly noting that this tool is for comparison and suggests using free2aitools_select_model or free2aitools_search for discovery.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides explicit when-to-use and when-not-to-use guidance: 'USE WHEN you already have 2+ specific entity ids and want a structured side-by-side. DO NOT USE to discover entities, to run/execute a model, or to get a recommendation.' It also names sibling tools as alternatives for discovery.

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

A4.4/5.0
Disambiguation2/5

Significant overlap exists between free2aitools_search, free2aitools_rank, and free2aitools_select_model. All return FNI-ranked results with largely similar functionality; the descriptions attempt to differentiate but boundaries remain unclear. Compare and explain are distinct, but the discovery tools cause confusion.

Naming Consistency4/5

All tools share the 'free2aitools_' prefix and lowercase snake_case, but four use single verbs (compare, explain, rank, search) while one uses 'select_model' (verb_noun), creating a minor inconsistency. Overall naming is predictable and readable.

Tool Count5/5

With 5 tools covering discovery, explanation, and comparison of AI models, the count is well-scoped for the server's purpose. Each tool has a defined role, and the set is neither too sparse nor overwhelming.

Completeness4/5

The tools cover key workflows: keyword search, metadata filtering, ranking, single-entity explanation, and multi-entity comparison. A minor gap is the absence of a tool to retrieve full details of a specific entity without explanation, but this can be approximated. Overall, the surface is largely complete for discovery and analysis.

Resources