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Get autocoding agent status

get_agent_status
Read-only

Returns the current status of your controller VM. On a freshly set-up VM also returns the trigger token needed to authorize the fleet and to call trigger_agent_batch. Call this after setup_agent_fleet to confirm the VM is ready.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
log_tokenNoLog token for fetching controller logs (optional — returned by this tool on first call)
controller_urlYesHTTPS URL of your controller VM, e.g. https://redu-controller-abc123.redu.cloud

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
statusNo

TDQS

A4.4/5.0
Behavior4/5

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

Annotations declare readOnlyHint=true and openWorldHint=true. The description adds that on a freshly set-up VM, it also returns the trigger token, which is behavioral context beyond the annotations. No contradictions.

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?

Two sentences, front-loaded with the main purpose, then additional context. No unnecessary words or repetition.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's simplicity, the description covers the key return items (status and trigger token). Output schema exists, so no need to detail return values. Could mention possible error states, but overall adequate.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so the schema already describes both parameters. However, the description adds value by explaining that log_token is optional and returned by this tool on first call, which goes beyond the schema.

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

Purpose5/5

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

The description clearly states the tool returns the current status of the controller VM, with specific verb ('Returns') and resource ('current status of your controller VM'). It distinguishes itself from sibling tools like setup_agent_fleet and trigger_agent_batch by mentioning the trigger token context.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly advises to call after setup_agent_fleet to confirm VM readiness, and notes the trigger token's role for authorization and calling trigger_agent_batch. Lacks explicit when-not scenarios, but the context is clear.

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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TDQS

A3.6/5.0
Disambiguation5/5

Each tool has a clearly distinct purpose, and the descriptions include specific details (e.g., create_database for Postgres vs create_relational_database for MySQL/MariaDB) that prevent confusion. Even similar tools like plan_deploy, plan_instance, and plan_managed_datastore are well-differentiated by their contexts.

Naming Consistency5/5

The vast majority of tools follow the verb_noun pattern with underscores (create_*, list_*, delete_*, etc.). Only minor deviations like 'whoami' exist, but the overall pattern is highly consistent and predictable.

Tool Count2/5

With 69 tools, the server has an excessive number for an MCP context, far exceeding the typical 3-15 range. While it may mirror the full redu.cloud API, the sheer count overwhelms agents and increases selection latency.

Completeness4/5

The tool set covers the majority of cloud management operations: CRUD for instances, volumes, databases, deployments, and more. However, update operations are missing for several resources (e.g., instance resize, volume resize), and there is no tool to modify deployments without redeploying.

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