data_update

Update a record by id.

SERVERYaver SOURCEyaver-cli

Medium RISK CLASS

Category Write

Parameters 43 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-kivanccakmak-yaver/data-update.md

WHAT IT DOES

What data_update does on Yaver

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

Parameter	Type	Required	Description
`id`	string	Yes
`table`	string	Yes
`fields`	string	Yes	JSON
`directory`	string	—

Parameters from the server's own tool schema.

RISK

Why data_update is rated Medium

The tool updates an existing record, which is a reversible write operation. It modifies data but does not delete or irreversibly destroy it. Severity is medium because an AI agent could overwrite important records if misused, but the operation is scoped to a single record by ID and is theoretically reversible.

From the tool's definition 'Update a record by id' — modifies existing data by identifier

Risk signalsAccepts file system path (directory)

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs data_update safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Yaver, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For data_update, this is the rule to start with:

data_update Rate-limited

data_update 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.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "data_update": {
      "limits": [
        {
          "counter": "data_update_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Yaver, apply this rule, and every data_update call is checked against it from then on.

FAQ

Questions about data_update

What does the data_update tool do? +

Update a record by id. It is categorised as a Write tool in the Yaver MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

What parameters does data_update accept? +

data_update accepts 4 parameters: id, table, fields, directory. Required: id, table, fields. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on data_update? +

Register the Yaver MCP server in PolicyLayer and add a rule for data_update: 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 Yaver. Nothing to install.

What risk level is data_update? +

data_update is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit data_update? +

Yes. Add a rate_limit block to the data_update 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.

How do I block data_update completely? +

Set action: deny in the PolicyLayer policy for data_update. 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.

What MCP server provides data_update? +

data_update is provided by the Yaver MCP server (yaver-cli). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

KEEP EXPLORING

More on Yaver, and thousands of servers like it.

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All 645 Yaver tools →

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aroflo_create_or_update_record on AroFlo MCP →team_manager_update_budget on Team Manager MCP → The MCP Attack Database →

Guides

Govern customer-ops agents →Argument validation →Scoped token →