doc-bot

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

With no annotations provided, the description carries full burden and does well by disclosing behavioral traits: it's a continuous tool that must be called regularly, returns standards and reminders, validates alignment with requirements, and has compliance implications if skipped. It doesn't mention rate limits, authentication needs, or error handling specifics.

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 appropriately sized and front-loaded with the core purpose, though it could be slightly more concise. Every sentence adds value by emphasizing continuous use, specific scenarios, and consequences of skipping. The structure flows logically from purpose to usage guidelines to behavioral context.

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?

For a tool with 2 parameters, 100% schema coverage, no output schema, and no annotations, the description provides excellent contextual completeness regarding usage patterns and behavioral expectations. It thoroughly explains when and why to use the tool, though it doesn't detail return format or error cases.

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?

Schema description coverage is 100%, providing good documentation for both parameters. The description doesn't add any parameter-specific information beyond what's in the schema, so it meets the baseline of 3. The description focuses on usage context rather than parameter details.

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 purpose as a 'continuous project compass' and 'continuous compliance guardian' that provides 'mandatory standards PLUS checkpoint reminders', distinguishing it from one-time initialization tools. However, it doesn't specifically mention what resource it acts upon (e.g., documentation, project rules) or how it differs from sibling tools like 'check_project_rules' or 'get_global_rules'.

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 explicit, detailed guidance on when to use the tool with six specific scenarios (e.g., 'Before starting any task', 'When uncertain about approach'), emphasizes it's 'NOT a one-time initialization', and warns against skipping check-ins. It clearly distinguishes usage context from one-time tools.

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