justhandled_csv_schema_drift_preflight

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. It does disclose a key cost behavior: '$0.05 USDC on Base mainnet,' which is valuable. However, it does not state whether the operation is read-only, how it handles normalization, or what side effects (if any) exist beyond the cost. This leaves some ambiguity.

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, front-loaded sentence that immediately states the action and scope, then lists comparison dimensions and cost. Every word earns its place; there is no redundancy or filler.

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 has no output schema and no annotations, so the description should explain what the result looks like, how matching works, and any prerequisites. It only mentions cost and comparison aspects. It omits crucial context like return format, column matching logic, or error conditions, making it insufficient for an agent to fully anticipate tool behavior.

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 for missing parameter explanations. The description only says 'Compare normalized CSV column contracts' and does not mention the parameters 'baseline_columns' or 'current_columns' nor their structure (name, type, required). The parameter names are self-explanatory, but the description adds no semantic detail about how the inputs are used or formatted.

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 opens with a precise verb and resource: 'Compare normalized CSV column contracts for removals, additions, type drift, and newly required fields.' This clearly states the tool's function and distinguishes it from sibling preflight tools (e.g., shopify_product_csv_preflight, api_response_contract_drift_auditor) by focusing on CSV column schema comparison.

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 implies usage: use when you need to compare CSV column schemas for drift. It names the specific aspects (removals, additions, type drift, newly required fields) but does not explicitly state when to use this tool over alternatives or mention any exclusions or prerequisites. Usage context is inferred rather than clearly stated.

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