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

With no annotations, the description carries the behavioral burden. It discloses that the tool audits against VDMP and ECM thresholds and models net recoverable revenue, fee savings, and prioritized action plans, which adds useful context, but it does not explicitly state that the operation is read-only, whether it has side effects, or what output format to expect.

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 only two sentences and front-loads the core audit purpose and regulatory thresholds. The first sentence is dense, but every element earns its place and no wording is wasted.

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?

For a seven-parameter analytical tool with no annotations and no output schema, the description provides useful purpose and output-category context but remains incomplete on output shape, assumptions, and behavioral safety. The schema compensates for parameter documentation, but the description could say more about how results are returned.

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 100%, so the seven parameters are already well documented in the schema. The description adds domain context around chargeback ratio thresholds and financial modeling but does not add parameter-specific meaning beyond what the schema provides.

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 and resource: audits merchant monthly chargeback and sales performance against named Visa and Mastercard penalty programs. It is clear enough to distinguish from generic dispute tools, but it does not explicitly position itself relative to the listed sibling tools.

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?

Usage is implied by the compliance-audit framing and threshold references, but there is no explicit when-to-use guidance, no when-not-to-use conditions, and no comparison with check_visa_ce30_eligibility or compile_stripe_dispute_evidence.

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

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

With no annotations, the description carries the full burden and does real work: it discloses the 120-365 day window rule, the undisputed-status precondition, the 2+ matching-element threshold, and the returned verdict, matched elements, rules breakdown, and 0-100 win probability. It stops short of stating that the tool is a side-effect-free computation and says nothing about failure modes when prior transactions are absent.

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 tightly packed sentences: what it does, the rules it enforces, and what it returns. The most important information (the CE 3.0 evaluation) leads, and no sentence is 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?

For a two-parameter tool with nested objects and no output schema, the description covers inputs of interest, the eligibility rules, and the shape of the response, which is enough to call it correctly. It could go further on how many priorTransactions are needed and what an ineligible verdict looks like.

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 coverage is 100%, so the schema already documents both parameters, but the description adds meaning: it names the five matching elements (IP, device fingerprint, billing address hash, customer ID, email) that map onto ipAddress, deviceId, billingAddress, userAccountId, and customerEmail. It also ties the 120-365 day window to the created dates and the undisputed requirement to the disputed flag, which the schema does not explain.

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 specific verb and resource: "Evaluates a disputed transaction against merchant historical settlement records under Visa Compelling Evidence 3.0 (CE 3.0)." The Visa CE 3.0 framing plus the eligibility-verdict output clearly separates it from compile_stripe_dispute_evidence (evidence assembly) and audit_merchant_chargeback_ratio (portfolio auditing).

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 eligibility-checking context implies when to reach for it (a chargeback where the merchant holds prior settled transactions), but it never names the sibling tools or states when NOT to use it, e.g. when no prior transaction history exists the check cannot succeed. Usage is inferable rather than directed.

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

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

No annotations exist, so the description carries the full behavioral burden. It richly describes the output contents (evidence fields, ToS SHA-256 receipt, Markdown rebuttal citing Visa CE 3.0 / Mastercard Chargeback Guide), but never clarifies the crucial question of whether it merely builds the payload or actually submits to the Stripe disputes.update API, nor does it mention auth requirements, side effects, or idempotency.

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?

It is front-loaded with the verb and resource, and both sentences are dense with useful specifics rather than filler. The long parenthetical field list makes it run-on, but each item carries information for an agent building the payload.

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 no output schema and no annotations, the description does well at describing the produced payload, but for a one-parameter, deeply nested tool with legal/financial stakes it omits the return shape and, more importantly, whether the operation writes to Stripe. Those omissions matter for correct invocation.

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 coverage is 100%, so the 3 baseline applies, and the description adds real meaning: by naming output evidence slots (access_activity_log, customer_communication, refund_policy_disclosure, etc.), it hints how nested inputs like telemetry, customerCommunication, and termsAcceptance feed the payload. It stops short of explicitly mapping each nested input field to its output slot.

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 gives a specific verb+resource: it compiles a Stripe disputes.update evidence payload, and it enumerates the exact evidence fields, the ToS receipt, and the rebuttal narrative it produces. It does not explicitly name the sibling tools (check_visa_ce30_eligibility, audit_merchant_chargeback_ratio), but the 'compile evidence payload' purpose is clearly distinct from eligibility-checking or ratio-auditing.

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?

Usage is only implied: the list of supported dispute reason codes tells the agent the contexts in which it applies, but there is no explicit when-to-use/when-not guidance and no reference to sequencing with the sibling eligibility or ratio tools. No prerequisites or exclusions are stated.

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