panelica_python_apps_post_v1_python_apps

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

Annotations already indicate readOnlyHint=false, but the description adds useful context beyond that: 'Mutating: changes server state' and 'Required scopes: apps:write'. This helps the agent understand the safety and authorization profile, though it does not detail idempotency, payload effects, or failure modes.

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?

The description is compact and front-loaded with the core purpose, followed by useful HTTP, scope, and mutation details. 'Category: Python Apps' is somewhat redundant with the tool name and title, but the overall structure is clean with almost no wasted text.

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?

This is a creation endpoint with no output schema and a body parameter whose schema is explicitly not statically declared. The description provides auth and mutation context but no payload shape, prerequisites, or expected response, leaving the agent without enough information to correctly construct a valid call without external documentation.

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?

Schema coverage is 100% per the context signal, and the only parameter 'body' has a description, albeit one that says the schema is not statically declared. The tool description adds no field-level meaning beyond the schema, so baseline 3 is appropriate; the agent must still consult API docs for actual body structure.

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 clearly states the action and resource with 'Create Python app' and the HTTP endpoint POST /v1/python/apps. It unambiguously identifies the purpose, though it does not explicitly differentiate this tool from related Python app management siblings such as start/stop/upload/pip.

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?

The 'Create' verb and 'Category: Python Apps' imply the tool is used to create a new Python app. However, there is no explicit when-to-use guidance, no exclusions, and no reference to alternatives such as managing existing apps or creating Node.js/Laravel apps, so usage must be inferred.

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