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BananaCrystal

BananaCrystal MCP Server

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update_my_agent_settings

Update agent approval settings to require human approval, enable OTP verification for transfers, and set a callback URL for approval notifications.

Instructions

Update agent approval settings (require_human_approval, require_otp, callback_url)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
requireOtpNoEnable/disable OTP verification for direct token transfers. Default: true. Set to false to allow transfers without OTP.
callbackUrlNoHTTPS webhook URL for approval notifications (or null to disable)
requireHumanApprovalNoEnable/disable email approval for agent-to-agent transactions
Behavior2/5

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

No annotations are provided, so the description must carry the full disclosure burden. It only says 'update' without describing side effects, permission requirements, or whether changes take effect immediately. This is a mutation with no behavioral context.

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, front-loaded sentence that names the tool's purpose and the key settings. Every word contributes, with no filler or repetition.

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

Completeness3/5

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

The tool is simple, but with no annotations and no output schema, the description should provide more context. It explains what is updated but not the outcome shape, error behavior, or relationship to other agent settings. The parameter schema covers the inputs, but behavioral context is lacking.

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 coverage is 100%, with each parameter having its own description. The tool description adds minimal value beyond listing the parameter names, which are already in the schema. The naming mismatch (snake_case in description vs camelCase in schema) could cause minor confusion, but the schema descriptions are sufficient.

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 verb 'update' and the resource 'agent approval settings', enumerating the specific settings (require_human_approval, require_otp, callback_url). This distinguishes it from sibling tools like get_agent_config, which reads settings.

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 for modifying agent approval settings, but it does not explicitly state when to use this tool versus alternatives like get_agent_config for viewing settings. No exclusions or prerequisites are mentioned.

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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