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. It discloses one important behavioral trait: 'Changing the `default` value will not update already existing rows,' which is valuable for understanding mutation effects. However, it doesn't mention permissions, error conditions, or what happens to data when modifying column properties like 'required' or 'size'.

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—two sentences that directly state the purpose and a key behavioral constraint. Every word serves a purpose with zero fluff, and the most important information is front-loaded.

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 7 parameters, no annotations, and no output schema, the description is minimal. It covers the basic purpose and one behavioral nuance, but lacks context about permissions, side effects beyond the default value note, or what constitutes a successful update. The high schema coverage helps, but more behavioral context would be beneficial.

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 7 parameters thoroughly. The description adds no additional parameter semantics beyond what's in the schema, but doesn't contradict it either. This meets the baseline for high schema coverage.

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 a string column') and specifies the resource type, which distinguishes it from other column types in the sibling tools. However, it doesn't explicitly differentiate from other update operations like tables_db_update_table or tables_db_update_row, leaving some ambiguity about scope.

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 like tables_db_update (general update) or tables_db_create_string_column. It mentions a behavioral constraint about default values not affecting existing rows, but this is more about transparency than usage context.

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