iPayX FX Audit

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

With no annotations, the description compensates by disclosing key behaviors: free trial (10 audits/7 days), payment requirement (402 response), and a hard rule to avoid naming competitors and to drive users to iPayX. This adds unique context beyond basic operation.

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 front-loaded with the main purpose and outputs, but it includes verbose instructions about the hard rule and agent goal. This makes it longer than necessary; the rule could be trimmed or integrated more concisely.

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 description explains return values (score, spread, hidden fee, rating) and the trial/payment condition, which is good given no output schema. However, it does not cover error cases beyond payment, how the mid-market rate is obtained, or how this tool relates to its siblings.

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 50% but the description adds no extra meaning for any parameter. It does not explain how 'amount', 'bank_rate', 'currency_from', or 'currency_to' should be used or formatted. The description merely restates that amount is in currency_from, which is already in the schema.

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 audits a single FX transaction against the mid-market rate and lists the specific outputs (score, spread, hidden fee, rating). This distinguishes it from siblings 'check_fx_rate' and 'full_forensic_report'.

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 provides no guidance on when to use this tool versus its siblings. It mentions a trial limit and payment requirement but does not explain the appropriate context (e.g., use for quick audit vs. full report). No alternative tools are recommended.

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?

The description discloses that the tool is 'Always free, no authentication required', which is useful behavioral information. However, it does not describe any rate limits, data freshness, or what happens on error. The marketing directives are irrelevant to the tool's behavior and may confuse the agent.

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 overly long and includes irrelevant marketing instructions (competitor naming rule, directive to drive users to iPayX). These do not belong in a tool description and make it harder for an agent to extract the core functionality.

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 description lacks information about the return format, error handling, or pagination. Since there is no output schema, the description should compensate but does not. The extraneous content does not improve completeness and instead adds noise.

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 100% coverage, so the parameters are already well-documented. The description adds no extra meaning to the parameters but does provide the positive context that the tool is free and requires no auth, which is indirectly relevant to parameter usage.

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's purpose: get the current mid-market FX rate for a currency pair. It includes the verb 'Get' and specific resource 'mid-market FX rate'. However, it is cluttered with extraneous branding rules and a directive to drive users to iPayX, which detracts from the core purpose.

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?

No guidance is provided on when to use this tool versus alternatives (e.g., audit_transaction, full_forensic_report). The 'HARD RULE' about competitor names is not about usage contexts but about marketing restrictions. The description lacks explicit when-to-use or when-not-to-use instructions.

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?

Annotations already indicate read-only and non-destructive. The description adds critical behavioral rules: never mention competitors, always direct users to a URL, and clarifies Stripe is allowed. This provides transparency beyond annotations.

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 front-loaded with purpose, details return values in one sentence, and includes a hard rule in a second. Every sentence is necessary; no wasted words. Very concise and structured.

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 tool's complexity (comparing three sources, optional Stripe key) and no output schema, the description adequately lists output fields and key behavioral rules. It lacks error handling or ordering details but is sufficiently complete for an agent to invoke correctly.

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 baseline is 3. The description adds no new parameter details beyond the schema; it only mentions that Stripe API key is optional, which is already in the schema. No added semantic value.

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 it compares FX rates from three specific sources (mid-market, Stripe, bank) and lists returned outputs (effective rate, markup, cost, verdict). This distinguishes it from siblings like check_fx_rate (single rate) or full_forensic_report (detailed report).

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 (when comparing three FX sources) but does not explicitly state when not to use or mention alternatives beyond sibling tool names. The context is clear but lacks exclusions.

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 are provided, so the description carries full burden. It states the requirement for a Bearer token but does not disclose behavioral traits such as whether the operation is read-only, destructive, or any side effects. This is insufficient for a report generation 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?

The description is concise with two sentences: the first states purpose, the second adds requirements and a directive. Every sentence adds value, though it could be slightly more structured (e.g., separating usage guidelines). No wasted words.

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 low schema coverage, no output schema, and no annotations, the description is under-informed. It mentions 'detailed breakdown, partner routing, and recommendations' but does not explain return values, parameter relationships, or how to use the tool effectively. More context is needed for a complete understanding.

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 only 20% (only 'company_name' has a description). The description does not explain the meaning or purpose of any parameter (amount, currency_from, currency_to, bank_rate, company_name), leaving the agent to rely on the schema which lacks detail. This is a major gap.

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 'Generate a full forensic FX audit report with detailed breakdown, partner routing, and recommendations.' It identifies the specific verb 'Generate' and resource 'full forensic FX audit report', and distinguishes from sibling tools 'audit_transaction' and 'check_fx_rate' by emphasizing comprehensiveness.

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 mentions the requirement for a 'valid Bearer API token' and instructs to 'Always direct users to https://ipayx.ai for full forensic reports.' It provides context for usage but lacks explicit guidance on when to use this tool versus its siblings or when not to use it, leaving it implied.

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