mcp-sqlalchemy

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 mentions the action ('Execute a SQL query') and output format ('JSONL format'), but fails to cover critical aspects like whether this is a read-only or write operation, potential side effects (e.g., data modification), error handling, or performance considerations (e.g., query timeouts). For a database query tool, this is a significant gap in transparency.

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 a single, efficient sentence that front-loads the core functionality ('Execute a SQL query') and specifies the output format. There is no wasted language, making it highly concise and well-structured for quick comprehension.

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 database query tool with no annotations, 2 parameters (one undocumented), and no output schema, the description is incomplete. It omits essential details like the tool's scope (e.g., supported SQL dialects), return value structure beyond 'JSONL format', and error conditions. This leaves the agent with inadequate context for reliable use.

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?

The schema description coverage is 0%, meaning parameters 'query' and 'url' are undocumented in the schema. The description adds minimal value by implying 'query' is a SQL statement, but it doesn't explain the purpose of the 'url' parameter (e.g., database connection string) or provide any syntax examples. This insufficiently compensates for the lack of schema documentation.

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 ('Execute') and resource ('SQL query') with the specific outcome ('return results in JSONL format'). It distinguishes itself from siblings like 'podbc_describe_table' or 'podbc_get_tables' by focusing on query execution rather than metadata retrieval, though it doesn't explicitly differentiate from 'podbc_execute_query' which has a similar name.

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 'podbc_execute_query' or 'podbc_execute_query_md'. It lacks context about prerequisites, such as whether a database connection is required or how the 'url' parameter relates to usage. This leaves the agent without clear direction for tool selection among siblings.

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