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

With only minimal annotations, the description carries the full behavioral burden and does so impressively: it discloses that the widget is injected server-side, that the update is partial except that knowledge replaces the entire text, and that factual content must never be invented. These are non-obvious behaviors an agent cannot infer from the schema or annotations.

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 dense but every clause earns its place: it front-loads the most important sequencing context, then gives update semantics, safety constraints, and a specific URL guideline. There is no filler or repetition of schema-level detail.

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 a 10-parameter tool with no output schema and minimal annotations, the description covers the key context an agent needs to invoke it correctly: deployment state, Plus/Pro requirement, partial-update behavior, knowledge replacement risk, and the real-facts constraint. Nothing critical for correct selection or invocation appears missing.

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 schema already documents all parameters at high coverage, so the baseline is 3. The description adds valuable semantics beyond the schema by clarifying that knowledge REPLACES the entire text rather than merging, and by directing contactFormUrl to the site's Dplooy Form URL. This additional operational meaning justifies a score above baseline.

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 identifies the action ('Enables/configures the chatbot') and the target resource ('on a deployed project'), then differentiates it from related operations by placing it as the 'LAST step after deploy + assignment' and by contrasting with get_chatbot for editing existing bots. This gives an agent a distinct, unambiguous purpose.

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 gives explicit sequencing ('LAST step after deploy + assignment'), identifies when an alternative is needed ('editing an existing bot? get_chatbot first'), and provides a concrete operational rule ('Point contactFormUrl at the site's Dplooy Form URL when one exists'). This is strong when-to-use guidance with clear exclusions.

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