validate_attribution_pipeline

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

No annotations are provided, so the description must disclose behavioral traits. It does not state whether the operation is read-only, whether it mutates any data, what happens on validation failure, or what the return format is. The term 'validate' implies a check, but the absence of explicit side-effect information is a significant gap for an unannotated tool.

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 short sentence, which is concise but under-specified. It is not front-loaded with the most critical information (e.g., required parameters or side effects). While brevity is good, the extreme lack of content makes it inadequate.

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?

With four parameters, nested objects, no output schema, and no annotations, the description must be comprehensive to guide correct usage. It offers only a vague statement about validation, leaving critical details like input structure, expected behavior, and error handling entirely unaddressed. This is highly inadequate for a tool of this complexity.

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%, and the description provides no information about any of the four parameters (eventId, stages, consent, clickIds). The agent receives no guidance on what these parameters mean, how they relate, or how to populate them. The description completely fails to compensate for the lack of schema descriptions.

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 ('validate') and resource ('declared attribution lifecycle stages and consent'), which is clear enough to convey the general purpose. However, it does not explain what 'validate' entails (e.g., consistency checks, data format validation) or how it differs from sibling tools like 'diagnose_missing_click_ids' or 'detect_attribution_gaps'. It is not a tautology but lacks specificity.

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?

There is no guidance on when to use this tool versus alternatives. The description does not mention any conditions, prerequisites, or exclusions. It simply states the action without context, leaving the agent to infer the appropriate scenario.

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