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NLP.COM.AI Open Model Catalog

List recent open-weight model releases

recent_models
Read-onlyIdempotent

Return the newest curated open-weight model release records, optionally limited to releases on or after an ISO 8601 date.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
sinceNoOptional inclusive release date in YYYY-MM-DD form.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
countYes
modelsYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint=false, so the safety profile is covered. The description adds only the notion of a 'curated' (closed) set and recency ordering; it says nothing about pagination, result ordering guarantees, or how many records the curated set contains.

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?

One sentence, front-loaded with the action and resource, with the optional filter stated last. No filler or redundancy.

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?

An output schema exists so return values need not be explained, and annotations carry the safety profile. The gaps are the unmentioned 'limit' parameter and the absence of any sibling differentiation, which matters given search_models and get_model are close alternatives.

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 coverage is 50%: 'since' is documented in the schema and reinforced in the description ('on or after', i.e. inclusive), but 'limit' is never mentioned in the description and relies entirely on the schema's default/min/max. Baseline 3 is appropriate given partial schema coverage.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb ('Return') and resource ('newest curated open-weight model release records') with a clear recency scope. It does not, however, distinguish itself from the sibling search_models or get_model, so the agent must infer the boundary.

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?

Usage is only implied by the word 'newest' and the optional date filter; there is no explicit when-to-use, when-not-to-use, or pointer to search_models for broader queries. An agent can guess the intent but gets no routing 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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