Appwrite MCP Server

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

With no annotations provided, the description carries full burden for behavioral disclosure. It mentions one important behavioral trait: 'Changing the `default` value will not update already existing rows.' This is valuable context about mutation behavior. However, it doesn't address other critical aspects like permission requirements, whether the operation is reversible, error conditions, or what the response looks like (especially with no output schema).

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 provides crucial behavioral context about default value limitations. There's zero waste or redundancy, making it efficiently front-loaded with essential information.

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?

For a mutation tool with 8 parameters, no annotations, and no output schema, the description is incomplete. While it mentions one important behavioral constraint, it doesn't address permission requirements, error handling, response format, or the implications of changing column properties. The agent would need to guess about many aspects of tool behavior and outcomes.

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 8 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 'new_key' or the relationship between 'required' and 'default'. The baseline of 3 is appropriate when the schema does the heavy lifting.

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 verb ('Update') and resource ('an integer column'), making the purpose immediately understandable. It distinguishes this tool from sibling tools like 'tables_db_create_integer_column' by focusing on updates rather than creation. However, it doesn't explicitly differentiate from other update_column tools (e.g., 'tables_db_update_boolean_column'), which would require a perfect score.

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 many sibling tools available (including other column update tools and general update tools), there's no indication of prerequisites, appropriate contexts, or when to choose this specific tool over others. The single sentence only describes what the tool does, not when to use it.

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