container_status

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

No annotations are supplied, so the description carries the disclosure burden; it implies a passive read by describing only reported values and no effects. However, it does not state that the call is non-mutating, whether it requires the container to be running, or what happens when the container is absent. For a zero-parameter status read the risk is low, but the behavioral picture is only partly filled in.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single compact sentence with no filler, and the key resource (the P5 docker container) plus the returned fields are front-loaded. The only weakness is that the information is delivered as a comma list rather than a leading verb, which slightly slows parsing.

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

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

There is no output schema, so the description must convey what comes back, and it does list the substantive fields: state, image, start time, P5 version, and newest backup dir. That is adequate for a parameterless status tool. It does not describe the response shape or error behavior, which is a minor gap.

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

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

The tool takes no parameters, so there is no schema semantics to add to and the baseline is 4. The description correctly introduces no parameter concepts and stays focused on the returned data. Nothing further is required on this dimension.

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

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

The description names the specific resource (the P5 docker container) and enumerates the fields it reports: state, image, start time, P5 version, and newest backup dir. An agent can tell this is a read-only inspection of the container rather than a mutation like container_start or container_backup. It stops short of a clean verb-first statement such as 'Get container status,' reading more as a list of return fields.

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

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

There is no explicit when-to-use guidance and no routing to alternatives, even though siblings like container_backup, container_update, and the generic status tool exist. Usage is only inferable from the word 'status' and the reported fields. Nothing says when an agent should call this versus container_start or status.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.