write_object_safe

Writes a new object to the bucket. Fails if the object already exists.

Server Observability @google-cloud/observability-mcp
Category Write
Risk class Medium
Parameters 00 required

What write_object_safe does on Observability

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

Why write_object_safe needs a policy

The tool creates or modifies data in a reversible manner (objects can be deleted or overwritten later). It is Write-category because it produces new data artifacts without irreversible destruction.

From the tool's definition Tool name 'write_object_safe' and description 'Writes a new object to the bucket. Fails if the object already exists.' explicitly indicates creation of new data with safeguards (fails on existing objects).

Questions about write_object_safe

What does the write_object_safe tool do? +

Writes a new object to the bucket. Fails if the object already exists. It is categorised as a Write tool in the Observability MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on write_object_safe? +

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

What risk level is write_object_safe? +

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

Can I rate-limit write_object_safe? +

Yes. Add a rate_limit block to the write_object_safe 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 write_object_safe completely? +

Set action: deny in the PolicyLayer policy for write_object_safe. 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 write_object_safe? +

write_object_safe is provided by the Observability MCP server (@google-cloud/observability-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

// LOOK UP ANOTHER SERVER

Every MCP server has a record like this.

Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.

Teams ship this data inside their own products. See what a licence covers →

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.