Appwrite MCP Server

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It adds one important behavioral constraint ('Changing the `default` value will not update already existing rows'), which is valuable context beyond the schema. However, it doesn't address other critical behavioral aspects like whether this is a destructive operation, what permissions are required, error conditions, or what the response looks like.

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 extremely concise with just two sentences that both earn their place. The first sentence states the core purpose, and the second adds crucial behavioral information about the default parameter. There's zero wasted language or redundancy.

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?

Given the complexity of a column update operation with 6 parameters and no annotations or output schema, the description is minimally adequate. It covers the basic purpose and one important behavioral constraint, but leaves many questions unanswered about mutation effects, error handling, and response format that would be important for an AI agent to use this tool effectively.

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?

Schema description coverage is 100%, so the schema already documents all 6 parameters thoroughly. The description adds minimal value beyond the schema - it only references the 'default' parameter behavior. No additional semantic context is provided for other parameters like database_id, table_id, key, required, or new_key.

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 clearly states the action ('Update an email column') and specifies the resource being modified. It distinguishes from sibling tools by focusing specifically on email columns rather than other column types or broader operations like table updates. However, it doesn't explicitly differentiate from other column update tools beyond the email type.

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 description provides no guidance on when to use this tool versus alternatives. With numerous sibling tools including other column update tools (boolean, datetime, etc.) and broader update operations, there's no indication of appropriate contexts, prerequisites, or trade-offs between this specific email column update and other available tools.

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