company_engagements

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

No annotations are provided, so the description is the sole source of behavioral information. It does hint that the tool can both read ('inspect') and write ('advance'), and that it verifies proofs and keeps provider effects external, but these are cryptic and do not clearly disclose potential side effects, destructiveness, or permission requirements.

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 concise sentence that front-loads the main action ('Inspect or advance engagements'), which is efficient. However, the brevity compromises clarity, as key terms are left undefined, so it is not as well-structured for comprehension as it could be.

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 the tool's apparent complexity (multiple parameters, a lifecycle, proofs, provider effects), the description is far too thin to allow an agent to use it correctly. It lacks essential context about what engagements are, how the lifecycle works, what proofs are expected, what the parameters control, and what output to expect. This is a critical gap, especially with no schema descriptions or annotations to fill it.

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 has 0% description coverage, and the tool description does not explain any of the parameters (project_id, bundle_json, now, engine, operation, entity_ref, payload_json). The term 'supplied proofs' might relate to bundle_json or payload_json, but this is speculative and not explicit. The description adds essentially no meaning to the parameter names and types.

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 states that the tool can 'inspect or advance engagements through its scoped lifecycle', which gives a general sense of read and write operations on engagements, but it is vague about what 'engagements' are, what the 'scoped lifecycle' entails, and what 'supplied proofs' and 'provider effects' refer to. It does not clearly distinguish this tool from the many other company_* tools in the sibling list.

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 no guidance on when to use this tool versus any of the sibling tools. It does not mention specific scenarios, preconditions, or contexts where this tool would be appropriate, leaving an agent to guess.

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