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panelica-mcp

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by Panelica

panelica_python_apps_put_v1_python_apps_id

Idempotent

Update an existing Python app's configuration or code by sending a PUT request to the Panelica hosting API, applying changes to the server state.

Instructions

Update Python app

HTTP: PUT /v1/python/apps/:id Category: Python Apps Required scopes: apps:write Mutating: changes server state.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesPath parameter: id
bodyNoRequest body (application/json). Schema not statically declared — see API docs.
Install Server

TDQS

A3.5/5.0
Behavior4/5

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

Annotations already signal readOnlyHint=false, idempotentHint=true, and destructiveHint=false, so the description does not need to restate those basics. It adds value by disclosing the required OAuth scope 'apps:write' and explicitly warning that this is a mutating operation that 'changes server state', which goes beyond the structured annotation data.

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

Conciseness4/5

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

The description is compact and front-loaded with the core action, followed by concise metadata lines for HTTP method, category, scopes, and mutability. It avoids padding, though some lines like 'Category: Python Apps' are partially redundant with the tool name and path.

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

Completeness2/5

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

For a mutating PUT endpoint with an open 'body' object ('Schema not statically declared — see API docs') and no output schema, the description is materially incomplete. It tells the agent the operation mutates state and requires apps:write, but not what fields the body should contain, what the update affects, or where to find the actual API contract beyond a vague reference in the schema.

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 baseline is 3. The description adds no parameter-level detail, and the schema itself only says 'id' is a path parameter and 'body' is an untyped JSON object with no statically declared schema. The description does not compensate for the body's lack of field documentation.

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 opens with 'Update Python app', a specific verb plus resource, and reinforces it with the HTTP method and path 'PUT /v1/python/apps/:id'. This clearly distinguishes the tool from the many sibling GET/POST/DELETE endpoints for Python apps and from update endpoints for other app types like Node.js or Laravel.

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

Usage Guidelines2/5

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

The description gives no guidance on when to use this tool versus alternatives such as creating, deleting, restarting, or installing packages on a Python app. It provides context like 'Required scopes: apps:write' and 'Mutating', but no explicit when-to-use or when-not-to-use direction.

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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