SingleStore MCP Server

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. While it details the return structure (e.g., 'name', 'description', 'contentURL'), it lacks information on critical behaviors such as authentication requirements, rate limits, error handling, or whether the operation is read-only or has side effects. The description does not contradict annotations, but it is insufficient for a tool with no annotation support.

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 well-structured and front-loaded, starting with the core purpose and then detailing the return fields and common categories. Each sentence adds value, such as clarifying the resource scope and listing return attributes. It could be slightly more concise by integrating the categories into the initial sentence, but overall it avoids redundancy and is appropriately sized.

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 tool's simplicity (no required parameters, no output schema, no annotations), the description is reasonably complete for a read-only listing operation. It explains what the tool does and what it returns. However, without annotations or an output schema, it lacks details on error cases, pagination, or performance characteristics, which could be relevant for an AI agent's decision-making.

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 input schema has only one optional parameter ('ctx') with 0% description coverage, and the tool description does not mention any parameters. Since there are effectively 0 user-facing parameters to document, the description adequately covers the tool's semantics without needing to explain inputs. This meets the baseline for tools with no parameters.

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 ('Retrieve') and resource ('catalog of pre-built notebook templates available in SingleStore Spaces'), making the purpose specific and unambiguous. It distinguishes this tool from siblings like 'create_notebook' or 'get_notebook_path' by focusing on listing available templates rather than creating or accessing specific notebooks.

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 implies usage by listing common template categories (e.g., 'Getting Started guides', 'Machine learning integrations'), which suggests when this tool might be helpful. However, it does not explicitly state when to use this tool versus alternatives like 'create_notebook' or provide any exclusion criteria, leaving some ambiguity about optimal usage scenarios.

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