Industrial Platform Pretrade

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

With no annotations, the description carries the full burden. It usefully discloses a real behavioral trait — the $0.001 USDC payment on Base via x402 — but leaves "recurring" undefined (subscription vs. repeated call), and says nothing about cadence, return format, or any auth/rate 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?

Two tight sentences with no waste; the core capability is front-loaded and the cost note is appended compactly.

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 one-param data tool with full schema coverage this is nearly adequate, but with no output schema the description should explain what a response looks like, and "recurring" plus the x402 payment flow remain unexplained — meaningful gaps for a paid streaming-style endpoint.

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 single parameter has 100% schema description coverage (product_id with a pattern and examples), so the schema already does the work. The description adds no syntax or format detail beyond it, making the baseline 3 appropriate.

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 names a specific resource (best-bid/best-ask market data) and a purpose (execution and spread monitoring), so an agent knows this returns top-of-book quotes. It stops short of a clear action verb and, notably, does not distinguish itself from the near-identical sibling crypto-top-of-book.

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?

"For autonomous execution and spread monitoring" implies the intended context, but there is no explicit when-to-use/when-not guidance and no routing to alternatives like crypto-top-of-book or crypto-market-snapshot that appear to overlap.

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. It does add genuinely useful behavioral context — the tool is paid ($0.001 USDC on Base via x402), which is a real invocation prerequisite an agent must know. Beyond that it says nothing about rate limits, freshness guarantees, caching, or failure behavior, so the disclosure is partial.

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?

Two tight sentences with no filler, and the core purpose is front-loaded ahead of the cost detail. Minor redundancy between "recurring" and "realtime" and the "autonomous trading and monitoring" clause keeps it from a perfect score.

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 one-parameter lookup this is nearly complete on the invocation side, but with no output schema the description never indicates what a result looks like (a scalar price? a pair with timestamp?), nor what happens on an unknown product_id or an unpaid call. Those gaps matter for an agent parsing the response.

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 single product_id parameter has 100% schema description coverage, including format examples (BTC-USD, ETH-USDC) and a pattern. The description adds no parameter semantics beyond what the schema already provides, so the baseline 3 for well-covered schemas applies.

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 names a specific verb and resource ("crypto price lookup"), so an agent immediately knows this returns a price. However, it offers no differentiation from the many close siblings such as canonical-crypto-spot-price, crypto-price, crypto-market-snapshot, or crypto-24h-stats, and the modifier "recurring" is ambiguous for what reads like a single-shot lookup.

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?

"for autonomous trading and monitoring" implies a usage context but never states when to choose this over the dozens of adjacent price/market tools. There is no when-not-use guidance and no mention of prerequisites beyond the cost line, leaving routing to inference.

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 present, so the description carries the full burden. It usefully discloses cost ($0.001 USDC on Base via x402), which is real behavioral context, but says nothing about freshness/caching, return format beyond the unit, or failure 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?

Two sentences, zero waste, with purpose front-loaded and the cost disclosure isolated in its own sentence. Nothing is redundant with structured fields.

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 one-parameter read tool with no output schema and no annotations, the description covers unit, chains, intended use, and pricing; only the default-chain behavior and data freshness are left unstated.

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 single 'chain' parameter has 0% schema description coverage and value codes ('eip155:8453', 'eip155:1') that are opaque, so the description's mapping of those to 'Base or Ethereum' adds genuine meaning. It does not state the default when the optional param is omitted.

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 resource and unit ('current EVM base fee in gwei') and enumerates the two supported chains, Base and Ethereum. It does not, however, distinguish itself from the sibling 'chain-gas-state', which an agent would plausibly confuse it with.

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?

'for recurring transaction timing and execution checks' gives implied usage context, but there is no when-to-use vs. when-not guidance and no named alternative despite a highly overlapping sibling (chain-gas-state).

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 a genuinely useful behavioral trait the schema cannot express: a per-call cost of $0.008 USDC on Base via x402, which implies a paid endpoint and wallet flow. However, it says nothing about freshness, polling cadence for a 'recurring' snapshot, or rate limits.

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?

Two sentences with no filler, and the purpose leads before the cost disclosure. Slightly cryptic wording ('Recurring bundled') but nothing 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?

No output schema and no annotations, so the description is the only prose available, yet it omits parameter meaning, return shape, and any usage boundaries. The cost disclosure is helpful but far from sufficient for a four-parameter, payment-gated tool.

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% and there are four parameters, including a patterned product_id, a bounded trade_limit, a bounded candle_limit, and a candle_granularity enum. The description adds no meaning for any of them, so an agent must infer units, defaults, and the product_id format entirely from the JSON 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?

Names the resource (crypto market snapshot) and a modifier ('bundled', 'recurring'), but never defines what the bundle contains or what the verb is (fetch? poll?). With siblings like crypto-market-snapshot, crypto-candles, and crypto-recent-trades present, 'bundled' is the only differentiator and it is left unexplained.

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?

Says the tool is 'for autonomous trading and market-monitoring loops', which is a target audience rather than a when-to-use rule. No exclusions, no prerequisites, and no indication of when to prefer this over crypto-market-snapshot or crypto-candles.

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. It usefully discloses a real behavioral trait the schema cannot: it costs $0.01 USDC on Base via x402, so the agent knows this is a paid call. However, it says nothing about return shape, freshness/snapshot semantics, or failure modes, leaving significant gaps for a paid composite 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?

Two tight sentences with the purpose front-loaded and the cost detail trailing. Every clause earns its place; nothing is padded.

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?

A six-parameter, four-required tool with no annotations and no output schema needs more than it gets. Parameter intent and the returned context bundle are undocumented, so an agent cannot confidently construct a correct call from the definition alone.

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% across 6 parameters (address, spender, token_contract, product_id, network, balance_tokens), so the description is expected to compensate and does not. The listed resources loosely hint at what is gathered but map to no specific parameter, leaving required inputs like product_id and spender unexplained.

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 clear verb (Refresh) and enumerates the specific resources aggregated: wallet, allowance, gas, price, 24h statistics, and top-of-book context. It distinguishes itself from the many narrow siblings (chain-erc20-allowance, chain-gas-state, crypto-top-of-book) by being the combined pre-trade snapshot, though it never names those alternatives explicitly.

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?

Explicitly states when to call it: 'immediately before each automated trade or payment.' That timing condition is exactly the routing signal an agent needs. It stops short of naming the narrower per-data-source siblings as fallbacks when only one metric is wanted.

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. It usefully discloses the return contents (native ETH and USDC) and the payment model ($0.001 USDC on Base via x402), which is real behavioral context. It omits failure modes, rate limits, and whether a charge applies on failed calls, so the safety/cost profile is only partially covered.

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 tight sentences with the core purpose front-loaded and the cost detail last. Nothing is redundant, though the 'Canonical' framing is slightly promotional and does no routing work.

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 2-param tool with no annotations and no output schema, the description does state what is returned, which partly fills the gap. It still leaves the chain default, address format expectations, and cost-on-failure behavior unaddressed, so an agent has open questions before invoking.

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. It maps the chain parameter to 'Base or Ethereum' and implies the address is a single wallet address, adding meaning beyond the bare enum and regex. It does not clarify which enum value is the default or confirm the address format, so compensation is partial.

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 (Returns) and resource (native ETH and USDC balances for one address) scoped to Base or Ethereum. However, it never distinguishes itself from the many sibling balance tools (chain-native-balance, chain-erc20-balance, chain-live-balance), so an agent cannot tell why to pick this 'canonical' one over those without opening schemas.

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?

'Suitable for recurring wallet and treasury polling' gives an intended-use signal that implies fit for monitoring/treasury siblings. But there is no explicit when-to-use vs when-not, and no alternative named for one-off or non-polling balance reads, leaving the agent to infer.

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