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 publicati...
This record as markdown: /tools/io-github-whiteknightonhorse-apibase/biomodels.model.latest.md
What biomodels.model.latest does on Apibase
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.
| Parameter | Type | Required | Description |
|---|---|---|---|
limit | integer | — | Number of recent curated models to return (1–50, default 10) |
Parameters from the server's own tool schema.
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.
Attacks that exploit this kind of access
The rule that runs biomodels.model.latest safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Apibase, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For biomodels.model.latest, this is the rule to start with:
biomodels.model.latest stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Apibase, apply this rule, and every biomodels.model.latest call is checked against it from then on.
Questions about 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. It is categorised as a Write tool in the Apibase MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
biomodels.model.latest accepts 1 parameter: limit. The full parameter table on this page comes from the server's own tool schema.
Register the Apibase MCP server in PolicyLayer and add a rule for biomodels.model.latest: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Apibase. Nothing to install.
biomodels.model.latest is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the biomodels.model.latest rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for biomodels.model.latest. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
biomodels.model.latest is provided by the Apibase MCP server (apibase-mcp-client). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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