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

Annotations cover the safety profile (readOnly=false, destructive=false, openWorld=true), and the description adds real value on top: it discloses the cost model (no credits charged), the side effect (the customer is notified politely), the confirmation policy, and the auth requirement (Cotlet API key with app access). This is meaningful context beyond the structured fields, though it could say whether the change is reversible.

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 first two sentences are essentially duplicated verbatim ('Mark a lead Not interested. No credits are charged; Bark tells the customer politely' followed by the same statement again), which is pure waste. The purpose is front-loaded, but the redundancy is a clear structural defect.

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 one-parameter mutation with no output schema, the description is largely sufficient: it covers the action, the zero-cost behavior, the customer notification, the confirmation policy, and the auth requirement. The main completeness issue is the redundant text rather than a missing fact.

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?

There is a single parameter with 100% schema description coverage; the schema already explains that lead_id comes 'from list_leads or list_responses.' The description adds nothing about the parameter, so the baseline of 3 applies.

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?

States a specific verb and terminal state: 'Mark a lead Not interested.' An agent can distinguish this from siblings like bark_contact_lead or bark_add_note by the outcome it produces. It stops short of naming a sibling explicitly, so it does not reach 5, but the action is 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?

Usage is implied rather than stated: the 'no credits are charged' and 'tells the customer politely' notes hint that this is the cheap, courteous decline path, which helps an agent choose it over a contact/send action. However, there is no explicit when-to-use, when-not-to-use, or named alternative, so it stays at 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.