company_revenue_model

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

With no annotations, the description carries the full burden of behavioral disclosure. It indicates that a revenue model is built, but it does not say whether this persists data, whether it is a read-only computation, what side effects occur, what prerequisites are needed, or how the result is delivered. The phrase 'Build' suggests generation, but mutation/persistence behavior is ambiguous.

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 sentence with no filler, and it front-loads the core purpose and outputs before adding source context. It is concise and readable, though domain terms like 'persisted chains' are left undefined.

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?

Despite having an output schema, this is a non-trivial tool with 7 parameters, 0% parameter coverage, no annotations, and many closely related sibling tools. The description does not adequately cover parameter semantics, side effects, or selection guidance, so an agent would likely struggle to call it correctly without additional context.

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 0%, so the description must compensate. It references 'the bundle's plan', which maps loosely to bundle_json, but it does not explain now, engine, operation, entity_ref, payload_json, or the role of project_id beyond being a clear identifier. Most of the 7 parameters remain effectively undocumented.

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 a specific verb and resource: 'Build the revenue model', and it clarifies the output (expected revenue and cash by month) and input sources. It does not explicitly distinguish itself from siblings like company_revenue or company_cash_position, but the build/model framing is clear enough for basic purpose identification.

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 some input context ('from the bundle's plan and the persisted chains') but never states when to choose this tool over alternatives, nor any exclusions or selection conditions. No sibling tool is named as an alternative, leaving the agent to infer when to invoke this over company_revenue, company_cash_position, or other financial tools.

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