affiliate_awin_propose_application

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

Annotations provide readOnlyHint=true, and the description reinforces this by stating 'it performs no network write itself.' It goes well beyond annotations by disclosing the external dependency on AWIN_PUBLISHER_ID with a config error, the return type (ApiGapResponse containing constraints, verify target, and inputs with no credentials), and the consumer's responsibility for surfacing terms. This is rich behavioral disclosure.

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 six sentences, but every sentence earns its place: purpose, mechanism, required params, config dependency, output shape, and consumer responsibility. It is front-loaded with the core action and structured logically, making it easy for an agent to parse for key decision points.

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 complexity (browser handoff, no public endpoint, config requirement, custom response type) and lack of output schema, the description covers all critical aspects: how it works, what inputs are needed, configuration error behavior, the shape of the ApiGapResponse, and the consumer's obligation for informed acceptance. It is sufficiently complete for an agent to invoke correctly and safely.

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 explicitly lists all parameters, marks required vs optional, and clarifies that 'brand' is 'a display label, not a binding.' However, it provides minimal semantics for advertiserId and programmeName beyond their names, leaving some ambiguity about acceptable formats or meaning. This is a solid improvement over the bare schema but not exhaustive.

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 tool 'prepare[s] a guided browser handoff to apply to a brand's programme on Awin as a publisher.' This is a specific verb+resource+scope that distinguishes it from listing/getting programmes or generating tracking links. It also explains why this approach is needed due to Awin exposing no public publisher application endpoint.

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 context that this is an experimental handoff for humans or an authorised consumer skill, and explains that no network write occurs. It implies this is the only way to apply because Awin lacks a public endpoint, but it does not explicitly name alternative tools or state when not to use it. Sibling tools like report_application_result or advertiser-side propose_publisher_decision are not mentioned as exclusions.

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