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AxLabs

Banana Accounting MCP Server

by AxLabs

Delete app data

banana_appdata_delete

Delete stored web-app data for a given data ID, freeing storage and resetting application state.

Instructions

Delete the stored web-app data for a given data id.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
data_idYesData id key, e.g. "chart_xyz".
Behavior3/5

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

Annotations already declare readOnlyHint=false, so the description adds minimal context about the destructive nature. It describes what is deleted ('stored web-app data') but does not mention irreversibility, permissions, or side effects. Given the annotations, this is acceptable but not enhanced.

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 a single sentence that is direct and front-loaded, with no wasted words. It effectively communicates the essential information.

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

Completeness4/5

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

For a simple delete tool with one parameter and no output schema, the description is adequate. It states the action and target, and combined with annotations, the tool's behavior is sufficiently understood. It does not explain return values or error cases, but the simplicity keeps this from being a major gap.

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?

The input schema provides full coverage for the only parameter, 'data_id', with an example ('chart_xyz'). The description echoes this without adding new meaning, so the baseline score of 3 applies.

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 action ('Delete') and the resource ('stored web-app data') for a given data id. It distinguishes from sibling tools like banana_appdata_get or banana_appdata_put by specifying the deletion operation.

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

Usage Guidelines3/5

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

The description implies usage by identifying the target (data id) but does not explicitly state when to use this tool versus alternatives like banana_appdata_put or banana_appdata_form. It lacks clear context or exclusionary guidance, leaving usage to be inferred.

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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