VeraData

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

No annotations provided; description discloses cost ($0.10 USDC via x402) and expected outputs but omits other behavioral traits like side effects, authorization needs, or error conditions. For a read-like tool, limited but acceptable.

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?

Extremely concise, single sentence with additional pricing note. Front-loaded with core purpose. 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?

Describes basic return fields but lacks detail on format, error handling, or validation. No output schema exists. For a paid tool, more completeness about the response structure would be helpful, but the description covers essentials.

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 50% (only sector and query have descriptions; country and x_payment lack detail). The description mentions sector and country but adds no extra meaning beyond the schema. The optional query parameter and x_payment are not elaborated.

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?

Clearly states it provides AI-powered LATAM market context with specific outputs (market_size, key_players, regulations, growth signals) from sector and country inputs. Distinguished from sibling tools (vera_entity, vera_rates, vera_sanctions) which cover different domains.

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?

Implied usage for market context but no explicit when-to-use or when-not-to-use. No mention of alternatives, though sibling tool names provide some differentiation. Lacks guidance on prerequisites or comparison with other tools.

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 full burden. It discloses real-time behavior, country set, return types (FX, benchmark rates, inflation), and pricing ($0.02 via x402). This is informative but could mention rate limits or update frequency.

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 extremely concise, using two sentences to convey purpose, country list, return types, and pricing. 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?

For a tool with 3 parameters, no output schema, and no annotations, the description covers countries, returns, and cost. Sibling names provide context. Missing output format details but adequate for agent decision.

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% (all params described). The description adds value by summarizing return types and pricing, which are not in schema. However, it doesn't elaborate on parameter syntax beyond 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 provides real-time LATAM central bank rates for specific countries (CO, MX, BR, CL, PE) and returns FX rates, benchmark rates, and inflation. This is specific and distinct from sibling tools (vera_context, vera_entity, vera_sanctions).

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 lists countries and returns but does not explicitly state when to use this tool versus siblings or provide when-not guidance. The context is implied but lacks explicit alternatives or exclusion criteria.

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 provided, the description carries full burden for behavioral disclosure. It mentions return values (risk_score, audit hash) and cost ($0.05 USDC via x402), but does not disclose whether the tool is read-only, modifies state, authentication requirements, or rate limits. This is insufficient for an agent to understand side effects or constraints.

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?

Very concise, two sentences. The first sentence immediately states the core purpose and scope, the second adds key return information and cost. No redundant or vague language.

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 output schema, the description provides some return info (risk_score, audit hash) but does not fully specify the output format. It does not mention error handling, matching behavior, or any additional context about the screening process. Moderately complete but could be more thorough.

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% (2 of 4 parameters described). The description does not add meaning beyond the schema for the required parameters (name, country). It does not explain the 'type' parameter or the 'x_payment' parameter, which is critical since payment is mentioned in the description. The cost info is not tied to any parameter.

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 is a global sanctions screening tool for LATAM operations, listing specific sanctions lists (OFAC, UN, EU, UK) and entry count (59k+). This distinctly separates it from sibling tools like vera_context, vera_entity, and vera_rates.

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 explicit guidance on when to use this tool versus alternatives. It does not mention prerequisites, when not to use, or provide alternative tool names. The description implies it is for sanctions screening but lacks context for comparison.

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