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

No annotations are present, so the description carries the full burden of disclosing behavior. It mentions that installation includes 'tables, views, relations and sample data,' which is useful. However, it does not disclose whether the installation is destructive (e.g., overwrites existing objects), requires specific permissions, or is idempotent. For a mutation tool, this is a significant transparency gap.

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 concise sentence that front-loads the main verb and object. It communicates the core purpose without any fluff or redundant information. Every word contributes to understanding.

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 that this is a mutation tool with no annotations and no output schema, the description is too minimal. It does not mention prerequisites, side effects, error scenarios, or what happens on success. The tool installs multiple components, so more context is needed for an agent to use it safely and effectively. Without it, the description is incomplete for the tool's complexity.

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 description does not explain the parameters beyond what the JSON schema provides. The schema documents 'id' with an example but leaves 'lang' completely undocumented. Since schema description coverage is only 50%, the description should compensate for the missing 'lang' meaning, but it does not. Thus, parameter semantics are weak.

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 tool's function: 'Install a business template with tables, views, relations and sample data.' The verb 'Install' combined with the resource 'business template' and its components distinguishes it from sibling tools like template_list, tables_list, and table_create. It is specific and unambiguous.

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: if you want to install a business template, use this tool. However, it does not explicitly mention when to use this tool versus creating tables individually or listing templates first. No alternatives or exclusions are provided, so only implied guidance is present.

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