LimitGuard Trust Intelligence

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

With no annotations, the description carries the full behavioral burden. It implies a read-only check and names the external trust source (LimitGuard), but it does not clarify what 'trusted' means, how trust is determined, or what failure modes exist. The 'Checks' wording weakly signals non-mutation, but more detail would be valuable.

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 compact and front-loaded with the core purpose. The first line and second line are mildly redundant ('Verify AI agent trust' vs 'Checks if an AI agent is trusted'), but overall there is no wasted content and the Args section is clearly organized.

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 simple tool shape (2 flat params, output schema present), the description covers purpose, usage context, and parameter meaning. It does not discuss trust semantics or alternative tool routing, but these are not critical for a basic delegated-trust check. The presence of an output schema means return values are documented elsewhere.

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 0%, so the description must explain the parameters. It does: agent_id is 'Unique agent identifier' and agent_name is 'Human-readable agent name.' These are basic but add meaning beyond the bare schema titles. Slightly more detail on expected formats or validation would 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?

States a specific verb and resource: 'Verify AI agent trust via LimitGuard' and 'Checks if an AI agent is trusted based on its identifier.' It clearly distinguishes this from sibling tools like check_entity, verify_wallet, and get_trust_score by focusing on agent trust verification for delegation.

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?

Gives a clear context: 'Used for multi-agent systems to verify delegation targets.' It tells an agent when this tool is relevant, though it does not explicitly mention exclusions or alternative sibling 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?

No annotations are provided, so the description carries the full burden. It does disclose the main behavioral outcome: returns a trust score (0-100), risk level, and recommendation. However, it does not mention authorization needs, rate limits, whether any external side effects occur, or failure behavior. It is more transparent than a bare mutation tool, but still incomplete for a no-annotation case.

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 well-structured and efficient, with a one-line purpose, a brief output summary, and a clear Args section. It is slightly redundant between the opening line and 'Full trust intelligence check,' but overall every sentence earns its place.

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 presence of an output schema and a solid parameter description, the tool is fairly complete for invoking it. However, with four sibling tools in the same domain and no usage guidance or differentiation, the description is not fully complete for an agent deciding which tool to select. The gap is mostly in routing and alternatives rather than parameter 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 0%, so the description must fully explain the parameters, and it does. Each argument is described concisely: entity_name is the full legal name, country uses ISO 3166-1 alpha-2, kvk_number is an optional 8-digit Dutch registration, and domain is optional. This adds meaningful semantic detail the schema lacks.

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: 'Check entity trust score via LimitGuard API' and expands with 'Full trust intelligence check on a business entity.' It clearly identifies what the tool does and what it returns, but it does not explicitly differentiate itself from sibling tools such as get_trust_score or get_risk_score.

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. There is no mention of check_agent, get_trust_score, get_risk_score, or how the full check relates to them. The usage context is only implied by 'Full trust intelligence check,' but no when-to-use or when-not-to-use instructions are given.

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 of behavioral disclosure. It reveals that the tool is faster and limited to risk signals, but it does not state whether the operation is read-only, what the response contains, whether there are rate limits, or any error conditions. This lack of operational detail is a notable gap for a tool with zero annotation support.

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 compact and front-loaded with the core purpose. The only waste is minor redundancy between 'Quick risk assessment without full trust check' and 'Faster endpoint that focuses on risk signals only,' which restate the same idea. The Args section is clean and useful.

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 essential invocation details are present: when to use, both parameter meanings, and the lightweight scope. An output schema exists, so not explaining return values is acceptable. However, the description remains thin on behavioral context and does not explicitly route the agent to get_trust_score for full trust checks, so it is adequate but not fully complete.

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 0%, but the description compensates by defining both parameters: entity_name as 'Full legal name of the entity' and country as 'ISO 3166-1 alpha-2 country code.' This adds critical meaning beyond the bare schema titles and gives the agent what it needs to supply valid inputs.

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 action ('risk assessment') and resource ('risk score'), and differentiates itself from a full trust check: 'Quick risk assessment without full trust check.' It also positions itself as a faster endpoint focused only on risk signals, which clearly distinguishes it from the sibling get_trust_score and aligns with the tool name.

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 says 'Use when you only need basic risk evaluation,' providing a clear use condition. However, it does not explicitly say when not to use it or name an alternative tool for full trust checks, relying on the implied contrast with 'full trust check.' This is solid guidance but not fully explicit.

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 behavioral disclosure burden. It does disclose that the tool returns a cached score and is intended for previously checked entities, but it does not explain what happens on a cache miss, whether a live lookup can occur, or any error behavior.

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 main point is front-loaded in the first sentence, and the Args section is compact. There is minor redundancy between 'Quick' and 'Fast lookup', but overall the description is appropriately sized and easy to scan.

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 simple one-parameter lookup tool with an output schema, the description covers the entity identifier semantics, the cached nature, and the intended context of previously checked entities. The main gap is the lack of explicit fallback behavior or when to choose a sibling tool instead.

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 0%, so the description must compensate for the single parameter. It fully does so: 'entity_id: Entity identifier (KVK number, domain, or hash)' gives concrete allowed formats beyond the bare string type 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 a specific action and resource: 'Quick trust score lookup by entity ID.' It further narrows the scope by saying it is a 'Fast lookup for previously checked entities' that returns a cached score, which distinguishes it from full entity checks and the sibling risk/wallet 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?

The description implies when to use this tool: for quick lookups of previously checked entities where a cached score may exist. However, it does not explicitly name alternatives or state when not to use it, such as when a fresh score or full entity check is needed.

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 responsibility for behavioral disclosure. It does convey the core behavior: checking wallet addresses against scam lists and transaction patterns, and supporting EVM/Solana formats. It does not disclose potential side effects, external data dependencies, rate limits, or explicitly state that this is a read-only lookup, though the wording strongly implies it.

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 compact, front-loaded with purpose, and followed by a short behavior statement and an Args block. There is a slight redundancy between 'Check wallet trust score' and 'Verifies wallet against scam lists', but each sentence contributes useful information. Overall it is appropriately sized with no 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?

Given that an output schema exists, return values do not need to be explained. The description covers the core purpose, accepted address formats, and the default chain. However, it omits guidance on when to choose this tool over sibling tools and does not explain how to select chain_id for Solana addresses, which would be important for complete cross-chain 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 description coverage is 0%, so the description compensates by explaining both parameters: wallet_address is a blockchain wallet address and chain_id is a CAIP-2 chain ID with a Base default of eip155:8453. It also adds useful meaning by noting EVM 0x and Solana base58 address support. It could specify valid chain_id values or how Solana chains should be represented, but the essential semantics are present.

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: checking a wallet trust score for crypto payments, and further clarifies it verifies against scam lists and transaction patterns. It also narrows scope by naming supported chain families (EVM and Solana). It does not explicitly differentiate from sibling tools like get_risk_score or get_trust_score, but the wallet-address focus makes the purpose clear.

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 context is implied by 'for crypto payments' and the supported address formats, suggesting this is the tool to verify a wallet before accepting payment. However, there is no explicit when-to-use or when-not-to-use guidance, nor any mention of alternatives such as check_agent, check_entity, get_risk_score, or get_trust_score.

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