AIPP Monetize

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

With no annotations provided, the description carries the full burden of behavioral disclosure. 'Explains' conveys that the tool is informational and likely read-only, but it does not clarify what the response looks like, whether it retrieves live data, or whether any side effects occur. The behavior is not contradicted by annotations, but the disclosure is thin.

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, focused sentence that front-loads the core purpose and lists the key subjects and protocols. There is no redundant or filler content; every part of the sentence contributes meaning.

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?

The tool is simple with no parameters, so the description is mostly adequate. However, it lacks usage context relative to its sibling tools and does not clarify whether the explanation is a document, a structured list, or a guided walkthrough. The missing usage guidance creates a noticeable gap in an otherwise clear description.

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 tool has zero parameters, so the input schema is already fully descriptive. The description does not need to add parameter-level semantics. The baseline of 4 is appropriate since there is no parameter information to provide.

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 'Explains AIPP pay-per-action monetization capabilities' for a specific set of resources and protocols. It does not explicitly differentiate itself from siblings like get_integration_guide or inspect_smart_tag, so it falls short of a 5, but the purpose is specific and understandable.

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 alternatives. It does not mention get_integration_guide or inspect_smart_tag, nor does it explain whether this should be used for overviews, reference, or integration steps. The intended use case is only implied by the verb 'Explains.'

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

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

With no annotations, the description must carry behavioral disclosure. It clearly implies a read-only retrieval operation, but it does not mention response structure, errors, or access requirements. This is acceptable for a simple get tool but lacks depth.

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?

A single, front-loaded sentence with no filler. It efficiently captures what is returned and for what target type.

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 read-only tool, the description covers the main output categories. There is no output schema, but the description enumerates what the agent can expect; missing response-format details are minor for this simplicity.

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 provides 100% parameter description coverage via the target enum and its description. The tool description adds no additional parameter semantics, so baseline 3 is appropriate.

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 a specific verb ('returns') and resource ('integration guide'), and enumerates the content categories: instructions, flow steps, and documentation links. This makes it easy to distinguish from siblings like inspect_smart_tag and get_aipp_capabilities.

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 a clear use context: call this when integration instructions or documentation links for a target type are needed. It does not explicitly compare with siblings, but their purposes are sufficiently different that no exclusions are needed.

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

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

No annotations are provided, so the description carries the full behavioral disclosure burden. It does disclose the read-only nature ('Inspects') and the public scope, which is useful. However, it says nothing about failure modes, error handling, rate limits, or behavior when a tag is invalid or non-public — gaps that matter given zero annotation coverage.

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?

A single, tightly packed sentence that fronts the verb and resource, includes input format, and states the return payload. Every clause earns its place with zero redundancy.

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 simple single-parameter read tool with no output schema, the description stating both the input format and the returned fields (manifest, pricing, payment rails) is largely complete. It could mention what happens if an ID is invalid or not public, but nothing essential is missing for correct invocation.

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 100% — the single parameter tag_id_or_url is already documented in the schema with its ID/URL semantics and an example. With full coverage, the baseline is 3, and the description adds no parameter-level detail beyond the schema.

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 ('Inspects'), a specific resource ('AIPP Smart Tag'), the input method ('by ID or URL'), and what it returns ('public manifest, pricing, and accepted payment rails'). This clearly differentiates it from siblings like get_aipp_capabilities and get_integration_guide, which target different resources and outputs.

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 usage context is implied — an agent knows to call this when it holds a tag ID/URL and wants manifest/pricing/rails — but there is no explicit guidance about when to choose this over the sibling tools (get_aipp_capabilities, get_integration_guide) or any exclusions. The context is clear but no alternatives are named.

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