Free2AITools

free2aitools_select_model

Filter the Free2AITools catalog by declared hardware/license metadata and return FNI-ranked candidate entries. USE WHEN you have concrete constraints (VRAM, params, license, context length, local-runnability) and want candidates narrowed by them. Constraints are metadata/heuristic filters over stored fields, NOT verified compatibility analysis, model inference, or model execution; this tool does not decide for you and is not an inference router. The caller is responsible for the final selection. Results are FNI-ranked, never paid placement, with no billing. Read-only, no side effects. Use free2aitools_search for unconstrained keyword discovery, or free2aitools_rank for keyword ranking without metadata filters.

Input Schema

TableJSON Schema

Name	Required	Description
`task`	Yes	Task name or natural language description (e.g. "text-generation", "code assistant", "image classification")
`limit`	No	Max entries returned (1-20, default 5)
`explain`	No	Include per-entry fni_summary (factual FNI factor/spec facts) and caveats in the response (default true)
`constraints`	No	Hardware and license filters (all optional)

TDQS

A4.5/5.0

Behavior4/5

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

Discloses read-only, no side effects, FNI-ranked non-paid, no billing. Acknowledges heuristic/metadata filtering limitations ('does not verify actual compatibility'). No annotations provided, so description carries full burden. Minor omission: no mention of pagination or error behavior, but constraints are well-covered.

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?

Description is front-loaded with purpose and usage, followed by limitations and alternatives. Only three sentences with no filler. Could slightly reduce redundancy (e.g., repeated 'heuristic'), but overall efficient.

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 full schema coverage (4 params, 1 required) and no output schema, description covers tool behavior, result ranking, and parameter explanation. Could benefit from brief mention of return structure (e.g., array of model entries), but the 'explain' parameter hints at per-entry summaries. Adequate for complexity.

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?

Schema coverage is 100%, so baseline is 3. Description adds value by explaining that constraints are metadata/heuristic filters, not verified runtime checks. Also notes that results are FNI-ranked and includes explanation parameter. Slightly above baseline due to clarifying context beyond schema.

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?

Description clearly states the tool filters catalog by metadata/constraints and returns FNI-ranked candidates. It distinguishes from siblings: unconstrained search (free2aitools_search) and keyword ranking (free2aitools_rank). Specific verb 'filter' and resource 'Free2AITools catalog.'

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?

Explicitly states 'USE WHEN you have concrete constraints' and provides clear exclusions: not for inference, not a decision tool, not verified compatibility. Names alternative tools for different use cases. Complete 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

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

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