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

Annotations already cover the safety profile (readOnly, idempotent, non-destructive, closed-world), and the description adds real behavioral context beyond them: macro-enabled and unsafe files are rejected, external-data formulas are flagged, and the output is 'findings plus a review report'. It does not say what happens on partial/inconclusive analyses or how findings are structured, but this is a strong disclosure for a read-only 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?

Three sentences, front-loaded with the analysis scope, then the audit-vs-produce routing, then constraints and return behavior. Dense and largely waste-free; the closing 'Returns findings plus a review report' is mildly redundant given an output schema exists, but it frames the response shape.

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?

An output schema exists, so return values need not be detailed, and annotations cover safety. The description still supplies the missing pieces an agent needs: accepted input formats, the audit (not generate) intent, rejection rules, and flagging behavior. Nothing material for correct invocation is absent.

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?

There is a single parameter with 100% schema description coverage; the schema already documents the accepted extensions (.xlsx/.xls, .pdf, .docx/.doc, images). The description's file-type mention mirrors the schema rather than adding format, path-resolution, or size/location semantics, so the baseline 3 applies.

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?

States a specific verb and resource ('Analyze an existing valuation report') and enumerates the exact checks performed: methodology, formulas, WACC and terminal value, key assumptions, data sources. It also proactively distinguishes itself from the entire valuation_* sibling family by declaring it audits rather than produces a valuation.

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?

Provides a clear when-to-use rule ('Use this to audit a document rather than to produce a valuation'), which is exactly the disambiguation needed against 33 valuation_* siblings. It does not name a specific alternative tool or state exclusions, so it stops short of a full 5.

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