update_rule_db

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 disclosing behavior. It does reveal that the tool scrapes and updates, implying a write operation and network access, but it does not specify whether the database is overwritten, whether it is destructive, or any side effects like schema changes or rate limits. For a mutation tool, this is minimal disclosure.

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, front-loaded sentence that conveys the agent action and target resource without any wasted words or redundant details.

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?

With zero parameters and an output schema present, the description covers the core action sufficiently. However, it omits important contextual details such as network requirements, idempotency, potential impact on the existing database, or when to execute this tool. It is adequate for the tool's simplicity but lacks thorough behavioral context.

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 tool has zero parameters and the input schema has no fields, so there is nothing for the description to add about parameter semantics. The description does not mention any parameters, which is consistent. Baseline for 0 params is 4.

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 uses the specific verbs 'Scrape and update' and names the exact resource ('offline wemake-python-styleguide rules database'), making the action and target clear. This also distinguishes it from sibling tools (lint_file, lint_project, lint_code, explain_rule), which are all about linting or explaining rules rather than updating a database.

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?

No explicit when-to-use or alternative guidance is provided, but the purpose is clear enough to imply that this tool is for refreshing the offline rules database. The description does not state prerequisites, frequency, or scenarios where it should be preferred or avoided, so it only meets the 'implied usage' level.

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