finance_stripe_ledger_reconciliation

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

With no annotations provided, the description must fully disclose behavior. It mentions that it surfaces discrepancies and produces a summary, but it does not clarify whether the tool is read-only or makes changes, what permissions are needed, or any side effects. The mention of a materiality threshold is good, but overall transparency is moderate.

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 concise and well-structured. It opens with a clear purpose statement, lists what it surfaces, mentions outputs, and then bullet-lists parameters. Every sentence adds value with no 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?

Given no annotations and 0% schema coverage, the description is reasonably complete. It covers purpose, basic behavior, parameters, and outputs. However, it could elaborate on whether the tool alters data, the role of the statement_url, and the format of the exceptions list. The existence of an output schema (not detailed) partially compensates for missing return value 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 input schema has 0% description coverage, so the description must compensate. It lists all four parameters and provides brief but meaningful descriptions: message (free-text objective), month (YYYY-MM format), statement_url (optional bank/ledger statement), and materiality_threshold_usd (skip small differences). This adds significant value over the schema, though more detail on valid message content or constraints could improve it.

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 reconciles Stripe payment activity against an accounting ledger. It details specific issues it surfaces (missing entries, mismatches, timing variances) and outputs (reconciliation summary, exceptions list). This distinguishes it from sibling reconciliation tools that deal with Xero or general exceptions.

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 when to use the tool: when reconciling Stripe payouts against booked ledger entries. It describes the reconciliation process and parameters. However, it does not explicitly state when not to use it or mention alternative tools (e.g., finance_reconciliation_exceptions for non-Stripe reconciliation), which would be helpful.

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