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magicinterview_app_write
Destructive

Perform one schema-validated MagicInterview change requested in the app.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
toolNameYes
argumentsYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

C2.2/5.0
Behavior2/5

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

Annotations already declare destructiveHint=true, idempotentHint=false, openWorldHint=true and readOnlyHint=false, so the safety profile is largely covered. The description only adds 'schema-validated', which is thin, and it omits the key behavioral trait that the tool re-dispatches an arbitrary named tool with an arguments object. It does not contradict the annotations, but it adds little beyond them.

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?

It is a single, front-loaded sentence with no padding or redundancy. It is efficient, though the brevity comes at the cost of substance that the other dimensions penalize.

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

Completeness1/5

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

For a destructive, non-idempotent, open-world write tool with a nested free-form arguments object, an undocumented dispatch contract, and no output schema, one sentence is far from sufficient. The description omits how to construct toolName/arguments, what counts as a valid change, and what the outcome looks like.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% for both required parameters, and the description does not explain the meaning of 'toolName' or 'arguments' at all. With low coverage and no compensating prose, the agent cannot learn from the description that arguments must satisfy the target tool's own schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description names a verb ('Perform') and a resource ('MagicInterview change'), making it recognizable as a write-style tool, but 'change requested in the app' is vague about the actual effect and it never distinguishes itself from the sibling magicinterview_app_read. It does not convey that this is a dispatcher operating via toolName/arguments.

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?

There is no when-to-use guidance, no prerequisites, and no mention of alternatives such as magicinterview_app_read or execute_tool. The agent is left to infer that this is the write counterpart to the read tool purely from the name.

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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