scrape_and_seed

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

With no annotations, the description bears full responsibility for behavioral disclosure. It mentions the required database table structure and return format, but lacks details on error conditions, idempotency, or whether existing data is overwritten.

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 reasonably concise, with a brief summary followed by parameter definitions. It includes necessary details like the database table schema, which is valuable context, but could be slightly more compact without losing clarity.

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 four parameters, no output schema, and no annotations, the description provides the database schema and return format, and explains each parameter. However, it lacks details on error handling and preconditions, which would make it more complete.

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?

Since schema description coverage is 0%, the description compensates by explaining each parameter clearly: url as 'URL of the API documentation page', db_path as 'Absolute path to the SQLite database file', source_name with examples, and site_type as an optional override. This adds significant meaning beyond the bare schema titles.

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 'Scrape API documentation and seed a finanal-style SQLite database directly', using specific verbs and resources. It distinguishes from siblings by combining scraping and seeding, while siblings like 'extract_api_endpoints' only extract and 'scrape_page' only scrape.

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 does not explicitly state when to use this tool versus siblings. The purpose of combining scraping and seeding is implied, but no direct guidance or exclusions are provided, leaving the agent to infer usage context.

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