# biomodels.model.latest

List the most recently updated manually curated mathematical models in BioModels. Curated models (BIOMD prefix) are peer-validated: each has been reproduced, annotated with standard ontologies (Gene Ontology, KEGG, ChEBI, UniProt, PubMed), and verified to match the figures in the linked publication. Returns model accession IDs, names, format, submission date, last modification date, submitter, and model URL, sorted by last update descending. Use to discover newly added or recently revised biological models across all domains. CC0 Public Domain — EMBL-EBI BioModels Database

Agent View of the PolicyLayer registry record for `biomodels.model.latest`. HTML page: https://policylayer.com/tools/io-github-whiteknightonhorse-apibase/biomodels.model.latest

## Facts

- Tool: `biomodels.model.latest`
- Server: Apibase (`apibase-mcp-client`) — https://policylayer.com/tools/io-github-whiteknightonhorse-apibase.md
- Install: `npx -y apibase-mcp-client`
- Homepage: https://github.com/whiteknightonhorse/APIbase
- Risk category: Write (Medium risk)
- Registry record: grade F, identity unverified
- Server auth posture: open
- Server rate-limited: no
- Parameters: 1
- Recommended policy verdict: Rate-limited

## Parameters

| Parameter | Type | Required | Description |
| --- | --- | --- | --- |
| `limit` | integer | no | Number of recent curated models to return (1–50, default 10) |

Parameters from the server's own tool schema.

## Example call (MCP tools/call, JSON-RPC 2.0)

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "biomodels.model.latest",
    "arguments": {}
  }
}
```

## Why biomodels.model.latest is rated Medium

An AI agent can call biomodels.model.latest faster than any human can review: one bad instruction and it creates or modifies resources in Apibase by the hundred, each call as confident as the last.

## Use case

AI agents use biomodels.model.latest to create or update resources in Apibase, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Apibase environment.

## Recommended policy (PolicyLayer)

Verdict: **Rate-limited**. Enforced by the PolicyLayer MCP gateway (https://policylayer.com/mcp-gateway) before a call reaches Apibase:

```json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "biomodels.model.latest": {
      "limits": [
        {
          "counter": "biomodels.model.latest_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}
```

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## For agents

This record is a snapshot. Live verdicts and the full registry:

- Check every server in your MCP config at once: `npx -y policylayer stack`
- Vet a server before you add it: install the mcp-precheck skill — `npx skills add https://policylayer.com` (skill text: https://policylayer.com/skill.md)
- Query the registry over MCP: endpoint `https://api.policylayer.com/mcp` — tools `check_mcp_server`, `check_mcp_stack`, `check_tool`, `search_registry`, `get_change_events`

---

Source: the PolicyLayer MCP registry — one continuously verified record per MCP server. Full record: https://policylayer.com/registry?q=io-github-whiteknightonhorse-apibase · API: https://policylayer.com/registry/api · Policy library: https://policylayer.com/policies/io-github-whiteknightonhorse-apibase