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

Annotations already indicate a mutating action (readOnlyHint=false, idempotentHint=false). The description adds that it sends an email and creates a lead, plus a rate limit, beyond what annotations provide. It does not contradict annotations. While it could detail failure modes or reversibility, the core behavioral disclosure is solid.

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?

Two sentences, zero filler. The primary action is front-loaded, and the critical usage condition is stated boldly with 'ONLY'. Each clause earns its place: purpose, effect, confirmation requirement, rate limit, and response time.

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 mutating tool with no output schema, the description adequately covers the essential behaviour and constraints. It omits response format or error handling, but given the tool's simplicity and the strong usage guidance, the gap is minor. The user-confirmation requirement is the most critical context and is clearly stated.

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%, so the schema already documents all three required and two optional parameters. The description reinforces which parameters must be confirmed ('name, email and message') but adds no new semantic detail beyond the schema, aligning with the baseline for high coverage.

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 specific action ('Submit a real project inquiry to Dribba'), the mechanism ('sends an email and creates a lead'), and the critical precondition (after user confirms exact details). This distinguishes it from sibling tools like list_projects and estimate_project without ambiguity.

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?

Explicitly states when to call: 'ONLY call it after the user has explicitly confirmed the exact name, email and message to be sent.' Also adds a rate-limit note and the expected response time (Dribba replies within 1h), giving the agent clear operational constraints.

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