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execute_command_application

Execute shell commands within running application containers for debugging, maintenance, or running one-off tasks in Coolify deployments.

Instructions

Execute a command inside a running application container. Useful for debugging, maintenance, or running one-off tasks. Note: This endpoint may not be available in all Coolify versions.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
commandYesThe command to execute inside the container. This can be any valid shell command.
uuidYesUUID of the application where the command will be executed. Get this from list_applications.
Behavior3/5

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

With no annotations provided, the description carries the full burden. It discloses that the tool executes commands in a container (implying mutation/action) and notes availability constraints ('may not be available in all Coolify versions'), which is useful context. However, it lacks details on permissions, side effects, rate limits, or response format, leaving behavioral gaps.

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?

The description is front-loaded with the core purpose, followed by usage context and a note on availability. Every sentence adds value without redundancy, making it efficient and well-structured for quick comprehension.

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

Completeness3/5

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

Given no annotations and no output schema, the description is incomplete for a mutation tool. It covers purpose and basic usage but lacks details on behavioral traits (e.g., security implications, error handling) and output expectations, which are critical for safe and effective use.

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

Parameters3/5

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

Schema description coverage is 100%, so the schema fully documents both parameters. The description does not add meaning beyond the schema (e.g., it doesn't explain command syntax or UUID sourcing further). Baseline 3 is appropriate as the schema handles parameter documentation adequately.

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 specific action ('execute a command') and target ('inside a running application container'), distinguishing it from siblings like 'get_application_logs' (read-only logs) or 'restart_application' (restart operations). It provides a verb+resource+scope combination that is precise and actionable.

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?

The description explicitly states when to use this tool ('useful for debugging, maintenance, or running one-off tasks'), giving clear context. However, it does not specify when NOT to use it or name alternatives (e.g., vs. 'get_application_logs' for read-only access), missing full sibling differentiation.

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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