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

Since no annotations are provided, the description carries the full burden. It details the three checks, the output format (flags with severity, summary with fields, shareable URL), and input limits (max 5000 rows, 5 MB). It does not explicitly state that the tool is read-only or non-destructive, but this is implied by the nature of analyzing CSV text.

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 well-structured and front-loaded with the tool's purpose and checks. It is relatively long but every sentence adds value, including usage examples and alternative tool reference. Could be slightly more concise but remains clear.

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 complexity (three checks, multiple sources, auto-detection), the description covers input format, output fields, limits, and alternative usage. No output schema exists, so the description adequately explains return values (flags, summary, URL) and usage 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?

With schema description coverage at 100%, baseline is 3. The description adds meaning beyond the schema for csvText by specifying supported sources (QuickBooks, Xero, etc.) and required structure (section headers, subtotals, net income row). For fileName, it repeats the schema description.

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 that the tool takes a P&L CSV and runs three specific checks (subtotal mismatch, negative expense, margin red flag). It distinguishes itself from the sibling tool analyze_journal_variance by noting that tool is for period-over-period comparison, while this is single-period.

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 explicitly provides usage scenarios: 'Use this when a user pastes a P&L and asks...' and gives example user queries. It also tells when not to use it, directing to analyze_journal_variance for period-over-period comparison.

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