panelica_python_apps_get_v1_python_examples

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

Annotations already cover the safety profile (readOnlyHint, idempotentHint, destructiveHint false), and the description adds a useful auth prerequisite: 'Required scopes: apps:read'. It does not describe response shape or pagination, but for a zero-parameter safe GET the annotations carry most of the burden.

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: the first line states the operation, followed by a short metadata block with endpoint, category, scopes, and read-only flag. The 'Category' and 'Read-only' lines are partly redundant with the tool name and annotations, but the overall length is appropriate.

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?

For a parameterless, read-only listing endpoint, the essential invocation facts are present: HTTP method, resource path, required scopes, and read-only behavior. The lack of an output schema is mitigated by the verb 'List' and the empty input schema, though a brief return-shape note would have made it fully self-contained.

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 input schema is empty with zero parameters, so there are no parameter semantics to explain. No additional parameter detail is needed, and the description does not omit anything relevant.

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 states a specific verb-resource pair, 'List example apps', and names the HTTP GET /v1/python/examples endpoint. The word 'example' helps distinguish this from listing live Python apps or from the sibling POST endpoint that creates an example, but the description does not explicitly contrast those sibling tools.

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 purpose and read-only nature imply when to use it: whenever example apps need to be listed. However, there is no explicit guidance about choosing this over alternatives like panelica_python_apps_post_v1_python_example for creating an example or panelica_python_apps_get_v1_python_apps for listing real apps.

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