intel

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

With no annotations, the description carries the full behavioral burden; it discloses the API key or payment requirement, states that data is read from onchain registration, and explains the freshness semantics of the sweep (re-probing every minute, rolling registry basis). The word 'read' implies a non-mutating operation, though it never explicitly states read-only or covers error/rate-limit 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 entire description is one extremely long run-on sentence that begins with payment details rather than the core purpose, and it buries the freshness parenthetical inside the resource enumeration. It is neither concise nor front-loaded, making it harder for an agent to parse.

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?

An output schema exists, so return-value documentation is covered, but the description omits the crucial input semantics, does not relate this tool to its siblings, and is ambiguous about whether 'every ChainHelix test hire' is returned in full or summarized. For a one-parameter tool, a clear statement like 'pass the agent id to get its full report' is missing.

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 the description never mentions the required 'id' parameter or explains how to identify the target agent. The only hint is 'One agent on BNB Smart Chain', but there is no explicit mapping of id to agent, which is essential for a single-required-parameter tool.

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 enumerates the contents of the report for a single BNB Smart Chain agent: its registration, newest probe, probe history, test hires with metrics, evidence records, registration link, and hiring instructions. This makes the resource and coverage identifiable, but the purpose is embedded in a long run-on sentence with no explicit verb like 'returns' or 'reports', and it does not differentiate itself from siblings such as agent_standing or search_agents.

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 when-to-use guidance, no alternative selection criteria, and no exclusions. It focuses entirely on payment/auth requirements and output contents, leaving the agent to infer when agent_report is preferable to agent_standing or search_agents.

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 well: it discloses payment/auth requirements, signed EIP-191 output valid for 24 hours, first_party behavior with no verdict, and the evidence components (probe, feedback, delivery checks). This is unusually transparent.

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 information-dense but front-loads payment details before stating the actual purpose, and the second sentence is a long, clause-heavy list. Every detail earns its place, but structure and front-loading could be improved.

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?

Despite having an output schema, the description thoroughly covers the non-schema context: authentication, payment rails, evidence provenance, signature validity, first-party behavior, and a free alternative. It is complete for a single-parameter tool, though it omits edge-case behavior like missing IDs.

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% and the schema already defines 'id' as the ERC-8004 token id on BNB Smart Chain. The description mentions the same concept but adds no new parameter-specific semantics beyond the implicit free URL with '<id>'.

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 identifies the resource ('standing of one ERC-8004 agent on BNB Smart Chain') and its evidence-based nature ('from what it did, not what it declares'). It distinguishes itself from bulk or spec siblings by emphasizing 'one' agent and the concrete data sources.

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 through 'The standing of one ERC-8004 agent' and the first-party vs. third-party distinction, but there is no explicit when-to-use or when-not-to-use guidance. It gives payment/auth prerequisites but does not name alternatives such as standing_bulk or search_agents.

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 the full burden, and it does so thoroughly: it discloses cost, payment routes, non-coverage by API key, chain (opBNB), reveal delay behavior, identity model, and the crucial semantic that it attests when not whether. This is exceptionally transparent for a paid on-chain 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 dense but every sentence adds critical value: cost, access, purpose, parameters, identity, chain behavior, and verification pointer. The main weakness is that payment details precede the core purpose, so the tool's primary function is not front-loaded.

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 covers the essential context for a paid, on-chain attestation tool: how it is paid, what it does, parameter semantics, identity, chain, reveal timing, and verification path. An output schema exists, so not explaining return values is acceptable.

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 fully: it explains payload is the claim string and reveals revealDelayHours range (1-720) and default (72). It also clarifies that claim text and salt publish at reveal time, adding behavioral meaning to the params.

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 seals a claim on-chain now and reveals it later, with a specific verb (seal/attest) and resource (claim). It differentiates from siblings by describing the pay-per-call model, the attestation mechanism, and pointing to attest_spec for verification, which helps distinguish it from verification/status 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 tells the agent when to use the tool (to attest a claim on-chain) and directs to attest_spec for the verification spec. However, it does not explicitly mention when not to use it or name alternatives for checking status/reveals, though sibling names imply those options.

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 of behavioral disclosure. It only states 'live counts' and the categories, but does not explain whether counts are cumulative or point-in-time, what 'gaps' means, update frequency, or any operational implications. This is minimal for a tool with no annotation safety net.

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 a single, front-loaded clause that wastes no words. It states the core behavior ('Live counts') and the relevant categories immediately, which is appropriately concise for a zero-parameter tool.

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 low complexity (0 parameters) and the presence of an output schema, the description is mostly sufficient for invoking the tool. However, it does not clarify the meaning of 'gaps' or 'anchored', nor does it explain how this relates to sibling attestation tools, leaving some contextual ambiguity for an agent deciding among many similar tools.

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 zero parameters, and schema description coverage is 100%, so there are no parameter semantics to clarify. With 0 parameters, the baseline is 4; the description adds nothing about parameters because none exist.

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 identifies the tool as returning live counts of the attestation stream, with four specific categories: committed, anchored, revealed, and gaps. It lacks an explicit verb like 'get' or 'return', so it is not a full 5, but the resource and scope are specific enough to distinguish it from siblings like list_attestations or attest_status.

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 gives no guidance about when to use this tool versus alternatives such as attest_status or list_attestations. It implies aggregate monitoring use through 'live counts', but there is no explicit when/when-not or mention of alternative 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 of behavioral disclosure. It does not state that invoking the tool returns a read-only spec, whether there are any side effects, or what operational characteristics to expect. It describes the spec's content, not the behavior of the tool itself.

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 short and front-loads the key noun phrase 'machine verification spec for the attestation service' before adding the hashing/on-chain/verification detail. The comma splice makes the sentence slightly awkward, but there is no filler or repetition.

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 zero parameters and an output schema present, the invocation surface is minimal. The description captures the spec's scope, which is the main information an agent needs to decide whether to call this tool. Remaining gaps in usage and behavioral transparency are accounted for in their respective dimensions.

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 zero properties, so schema coverage is trivially 100% and there are no parameter semantics requiring explanation. The baseline for zero-parameter tools is 4, and the description needs to add nothing further about parameters.

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 identifies the resource as the machine verification spec for the attestation service and names its subject matter: how sealed claims are hashed, put on chain, and independently verified. This distinguishes it from related siblings like proof_spec or receipt_spec. However, it is a noun phrase rather than a verb-led action statement, so it does not explicitly say what the tool does.

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 phrase 'for the attestation service' gives an implied use case: an agent should consult this when it needs the attestation verification spec. There is no explicit when/when-not guidance or comparison with related verify_* or *-spec tools, so the agent must infer applicability from context.

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 fully carries the behavioral disclosure burdencars and does so thoroughly. It explains that pre-reveal only the receipt is shown, post-reveal the claim text and salt appear, and the nonce path returns the sha256 of answer bytes, sequence number, and once sealed the opBNB batch transaction and Merkle path.

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 core purpose is front-loaded in the first phrase, but the second sentence is a dense run-on packed with several conditional behaviors. All content is relevant precisely because of the tool's variety of states, yet a light restructuring would improve readability.

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 status-checking tool with no annotations but a rich output schema, the description covers the major cases: pre-reveal, post-reveal, and paid-answer receipts with their eventual sealing details. It stops short of specifying mutual exclusivity of parameters or behavior when a nonce has not yet been sealed, leaving some edge cases to the output schema.

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 indicates that 'tenant plus seq or hash' are the claim identifiers and that 'nonce' switches to a paid-answer receipt, giving the agent meaningful parameter roles that the schema lacks. It does not fully specify combination rules, like whether nonce replaces seq/hash or whether hash must be hex-encoded.

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 ('Check') and a precise resource ('one sealed claim') addressed by tenant plus seq or hash, which clearly differentiates this from broader sibling tools like list_attestations or attestation_stats. It also covers the nonce variant for paid-answer receipts, leaving little ambiguity about what the tool does.

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 gives helpful temporal context (before vs. after reveal time) and distinguishes the nonce-based paid-answer path, but it never explicitly states when to choose attest_status over sibling tools such as verify_reveal, list_attestations, or attest. Usage is implied rather than directly routed.

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 burden, and it does substantial work: it discloses the authentication requirement (ChainHelix API key as bearer token), the pay-per-call alternative with specific payment rails, and the exact data categories returned. It does not mention rate limits or explicitly confirm read-only behavior, but for a data query tool this is a strong disclosure.

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 packs substantial information into a compact block without fluff. The auth/payment detail is front-loaded and the parameter semantics are clearly stated, though a bit dense as one continuous paragraph; minor formatting improvements would make it easier to parse.

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 output schema exists, the description does not need to explain return structure. It covers access requirements, parameter semantics, and data scope. The only real gap is the absence of explicit when-to-use guidance relative to sibling flow tools, but the tool is otherwise fully callable.

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, and it does. It explains the l2 parameter by listing arbitrum, base, and optimism and noting omission returns all three, and it explains window in hours with default and maximum values. This is exactly the 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 clearly identifies the resource: layer-two bridge activity for arbitrum, base, and optimism, listing concrete metrics like deposits, withdrawals, message counts, and value moved in ETH. It does not use an explicit verb like 'get' or 'list', and it does not name sibling tools, but the resource and scope are unmistakable.

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?

There is no guidance on when to choose this tool over alternatives such as stablecoin_flows or whale_flows. The only usage instruction is parameter-level: 'window in hours, default 24, max 720' and 'Omit l2 for all three', which is helpful for invoking the tool but not for tool selection.

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 behavioral burden and does disclose important context: API key or per-call payment is required, and the data is a sampled series with window summary values. It does not mention units, sampling interval, or error behavior, but it provides meaningful behavioral context beyond the bare schema.

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 two sentences and each carries necessary information: the auth/payment prerequisite and the data semantics. The payment sentence is somewhat long and front-loaded before the core purpose, but it is not wasteful and the overall length is appropriate.

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 one optional parameter, no annotations, and an output schema present, the description covers the key operational facts: authentication/cost, window semantics, and returned data shape in prose. Minor ambiguities like exact units of 'size' and 'fastest fee' remain, but the output schema likely resolves return details.

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 clarify the parameter, and it does: window is in hours, defaults to 24, and maxes at 168. This adds units, default, and bound, which is exactly the meaning an agent needs beyond the bare 'number' type.

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 identifies the resource (Bitcoin mempool over a window) and the specific metrics it provides: fastest fee, transaction count, size, and window high/low/latest. It is clear despite being phrased as a noun phrase rather than an explicit verb+resource statement. It does not explicitly distinguish itself from sibling tools, but the mempool/history scope is sufficiently unique.

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?

There is no guidance on when to use this tool versus alternatives such as gas_state, congestion, or market_state. The description states window defaults and limits, but not the appropriate conditions or exclusions that would help an agent decide between this and 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?

With no annotations, the description carries the behavioral burden and does disclose meaningful traits: a required bearer token or paid-per-call billing options, and a default/max window. It stops short of stating rate limits, whether data is live or historical, or read-only guarantees, but for a paid data query the cost/auth disclosure is substantial.

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 sentences carry only substantive information: access/billing, data offered, and parameter constraints. The payment details are dense and arguably should follow the purpose for better front-loading, but there is no filler or redundancy.

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 one optional parameter and an output schema, the description supplies the essential invocation context: auth/billing, default window, max window, and the metrics returned. It is missing only comparative guidance against siblings and a note on read-only behavior, but nothing needed to invoke the tool correctly is absent.

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 0%, yet the description fully compensates for the single optional parameter by stating units (hours), default (24), and max (720). This is precisely the semantic detail the schema omits, though it does not explain why window matters beyond the 'over a window' context.

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 identifies a concrete resource — Ethereum block builder market over a configurable window — and specifies the metrics delivered: blocks and value per relay, plus top builders by blocks. It lacks an explicit verb like 'get', and the payment/authentication sentence precedes the purpose, but the resource and data focus are clear enough to distinguish from market/MEV siblings.

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 given on when to choose this tool over siblings such as mev_bots, mev_intel, or wall_map. The only usage-oriented information is the payment/auth requirement and the window constraints; there are no exclusions or alternative-selection conditions.

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 must carry the full burden of behavioral disclosure. It does convey that this is a read operation ('reads') and lists the returned fields, but it does not address auth requirements, data source/freshness, potential costs, or failure behavior. Adequate for a simple lookup, but not rich.

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 carry the core data facts, the usage trigger, and the input requirement without wasting words or repeating schema fields. The description remains efficient and front-loaded with substantive content.

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 tool is simple, an output schema exists, and the description covers purpose, input semantics, and use context. It does not explain edge cases like unsupported chains or renewal boundaries, but nothing essential is missing for a correct call.

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 schema has one parameter with zero description coverage, so the description must compensate. It does by explicitly directing the caller to send an EVM address and by connecting that address to the wallet being checked. It could add chain/format details, but for a single string parameter this is sufficient.

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 identifies the resource (a wallet's standing clearance) and enumerates the specific data returned: paid period, sanctions statement, renewal count, and next renewal. It lacks an explicit command verb like 'get' or 'query', and does not differentiate from similar siblings such as cleared_buyer or standing_bulk, so it stops short of a 5.

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 gives a clear usage trigger: a seller should read this before taking a job, and it frames the tool as an alternative to paying for a screen. It does not provide explicit when-not-to-use guidance or name sibling alternatives, but the context is strong enough to guide selection.

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 the full behavioral burden and does so well. It discloses the returned artifacts (payment address, exact USDC/USDT amount, claim token), the expiring-order behavior with load-dependent time windows, and email-delivery side effects. An agent can predict the tool's effects beyond the call itself.

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 core buy action, then parameters, then follow-up workflow and constraints. The expiration and email details are dense but all earn their place; there is no filler or repetition.

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 three-parameter purchase flow with no annotations, the description is complete: it covers required parameters, optional conditions, return values, the next step (claim_key), and order expiry behavior. The agent has everything needed to invoke the tool correctly and continue the workflow.

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 has to compensate, and it does thoroughly. It explains the plan values with prices and rate limits, lists the payment chain options, and clarifies the conditional email requirement. This adds substantial meaning beyond the bare enum names and property types.

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: 'Buy a ChainHelix API key without a browser or account.' It then states the plan and payment chain choices and what the tool returns. It is clearly distinguishable from the sibling claim_key because it explicitly names claim_key as the next step.

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 gives a concrete usage context: purchase happens without a browser or account, then 'Send the exact amount, then call claim_key.' It does not explicitly say when not to use the tool or mention key_order_status as an alternative, but the workflow guidance is clear and actionable.

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 behavioral burden and does well: it discloses authentication/payment requirements, single-chain scope, fourteen timeframes, a 500-candle cap, and 'newest last' ordering. It omits error/rate-limit behavior, but the output schema covers return structure.

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 a single dense sentence with no fluff, front-loading the critical auth/payment requirement before the data behavior. It could be split into readable sentences, but every detail 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 output schema exists and annotations are absent, the description covers the essential invocation context: required auth/payment, data scope, timeframe choices, limit, and ordering. It does not discuss alternatives or failure modes, preventing a 5, but it is sufficient for correct use.

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 0%, so parameter meaning must come from the description. It adds value by explaining 'one chain', fourteen timeframes from one minute to one week, and up to 500 candles, which maps directly to chain, timeframe, and limit. Exact enum values remain in the schema, so it does not need to repeat them.

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 identifies the resource: price history with open, high, low, close, volume, and trade count per candle for a single chain. It lacks an explicit verb like 'get' or 'fetch' and does not name alternatives, but the meaning is unambiguous.

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 states important usage prerequisites: a ChainHelix API key as bearer token or a per-call payment via b402/x402. It does not explicitly say when to choose this tool over siblings like 'prices', but the phrase 'price history' implies its use case.

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 the full burden. It discloses payment/authentication requirements (API key or payment options), and importantly states that failing sections are reported as 'unavailable'—a behavioral trait. However, it does not mention idempotency, rate limits, or error handling beyond partial failures. Still, for a read-only tool, it covers key behaviors.

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 a single dense sentence but packs essential information without fluff. It front-loads the payment requirement and then clearly states the tool's output. It could be split into two sentences for readability, but it is appropriately sized 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 (aggregating many data types) and minimal schema, the description adequately covers what it returns and the partial failure behavior. Since an output schema exists, return format is likely defined there. It misses some details like response structure or limits, but for a one-shot read tool, it is sufficiently 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%, so the description must add meaning. It does not explicitly define the 'chain' parameter but states 'One chain' and notes that Bitcoin includes mempool data, adding context. The enum itself lists chain names, which is self-explanatory. The description adds marginal value but does not fully compensate for the lack of schema descriptions, though the single enum parameter limits the need.

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 function: it provides a comprehensive single-answer market overview for a selected chain, enumerating the specific data types (market state, momentum, price walls, large transfers, bot activity, open interest, stablecoin flows, and mempool for bitcoin). This distinctively positions it as an aggregate tool versus the granular sibling tools like market_state or stablecoin_flows.

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 usage for a holistic chain read ('the whole read in one answer') but does not explicitly state when to prefer this over individual metric tools or when not to use it. It lacks direct comparison to alternatives, though the sibling list makes it clear many specialized tools exist. The payment/API key requirement is mentioned, which is a prerequisite rather than usage guidance.

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 the full behavioral burden. It discloses the critical exactly-once behavior ('The key is returned exactly once, save it') and the expected claimable timing. It doesn't address repeated-claim consequences or auth requirements, but the disclosed details are highly valuable and non-obvious.

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 short sentences, each earning its place: purpose, critical usage detail, and timing expectation. The most important action is front-loaded.

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 tool with an output schema present, the description covers the action, parameter, critical result behavior, and timing. It is sufficiently complete, though it could add a pointer to key_order_status when keys are not yet claimable.

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 undocumented parameter. It only says 'Takes the claim token,' which essentially restates the parameter name and adds little detail about where the token comes from, its format, or how to handle missing/invalid tokens.

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 ('Claim'), a specific resource ('the API key'), and a clear relationship to 'a paid buy_key order.' This immediately distinguishes the tool from siblings like buy_key (purchase action) and key_order_status (status check).

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 gives clear usage context: it should be used for a paid buy_key order, requires a claim token, and the agent should expect payments to become claimable within ~30 minutes of chain confirmation. It does not explicitly name alternatives or exclusions, so it stops short of a 5.

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 burden, and it does so well: it discloses cost, payment rails, expiration, 24-hour renewal, OFAC screening, and the fact that the same payment cannot be credited twice. This goes well beyond a bare 'creates clearance' statement and gives an agent a realistic picture of side effects and prerequisites.

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 a dense block of prose that leads with pricing rather than the tool's purpose, making it hard to scan. It contains valuable details, but there is no clear action-first sentence and no structured presentation of payment options, validity, or renewal rules.

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 tool with an output schema, the description covers a lot of necessary operational context: cost, duration, renewal, payment networks, and the requirement to pay with the wallet itself. However, it still lacks an explicit statement of what action the tool performs and exact accepted parameter values, leaving the agent to infer both.

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 schema has one optional network parameter with 0% description coverage, so the description must explain accepted values. It mentions BNB Smart Chain and the Base network in prose, but it never explicitly maps the network parameter to those values or explains what happens when the parameter is omitted. This is partial compensation at best.

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 communicates that paying $2 produces a 30-day standing sanctions clearance for the paying wallet, but it never states this in a direct action phrase like 'This tool clears a wallet.' It does distinguish itself from buyer_clearance, which returns the statement, so an agent can infer the purpose, but the core verb/resource is buried in pricing and mechanics.

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 gives helpful operational guidance: a ChainHelix API key does not cover this tool, the payment must come from the wallet to be cleared (not a key id), and calling again extends the clearance. It also points to buyer_clearance as the free way to read the current statement. However, it never explicitly states the business condition for when to choose this tool over alternatives or when not to call it.

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 must carry behavioral disclosure. It does disclose authentication requirements and per-call payment options, which is valuable. However, it omits rate limits, side effects, or confirmation that the operation is read-only, leaving some uncertainty about invocation 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 description is not front-loaded: the actual purpose ('Bitcoin queue depth...') appears only at the end, after a long, detailed payment and authentication clause. The payment details are important but should follow the core purpose to be more scannable.

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 tool has no parameters and an output schema exists, so return-value documentation is not the description's job. It covers access requirements and data scope adequately, but lacks usage context and any mention of data freshness, which would help an agent decide when to call it.

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 tool has zero parameters and schema coverage is 100%, so there are no parameter semantics to clarify. The baseline of 4 applies because the description need not compensate for missing parameter documentation.

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 identifies the service as reporting 'Bitcoin queue depth now vs the past 30 days plus the current fastest fee', which specifies the resource and metric. It does not explicitly contrast with sibling tools like btc_mempool_history, so it stops short of full differentiation.

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 choose this tool over alternatives such as btc_mempool_history or gas_state. The only usage information is the required API key or payment method, which is a prerequisite rather than a selection criterion.

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 must cover behavioral expectations itself. It discloses authentication/payment requirements and the window default/max, which is useful, but it does not explicitly state that this is a read-only computation, what the response contains beyond what the output schema implies, or any rate-limit/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 description is not front-loaded: the long payment/auth sentence appears before the actual purpose, burying the core function. The payment details are specific but lengthy, and the structural priority is inverted.

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 single-parameter tool, the description covers the core computation, payment/auth requirements, and window constraints. However, it never identifies which nine chains are meant, lacks any usage context, and relies on the output schema to explain the return shape—acceptable but not complete guidance for an agent.

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 schema provides only a bare 'number' type for window with no description, so the description must compensate. It does by specifying units ('in days'), a default of 7, and a max of 30. This is meaningful added semantics, though a minimum value and optionality are not stated.

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 phrase 'Pairwise correlation of hourly returns across the nine chains' clearly identifies the operation and resource, even though it lacks an explicit imperative verb like 'Compute.' It is distinguishable from most sibling tools by its correlation-focused computation, but it does not explicitly contrast itself with similar market-analysis 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 provides operational prerequisites (API key or per-call payment) and a parameter constraint, but gives no guidance on when to choose this tool over alternatives or when not to use it. There are no references to sibling tools or use-case conditions.

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 disclosing behavior. It clearly explains what the digest contains and where it is stored, which helps set expectations. However, it does not mention whether the operation is read-only, any rate limits, failure behavior for invalid or missing dates, or other execution traits.

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. The core purpose is front-loaded, and the parameter behavior is stated in a compact second sentence. Every clause 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 a single optional parameter and an existing output schema, the description covers the essential semantics: what the digest aggregates, where it is stored, and how the date parameter behaves. It could add clarification about default 'latest' resolution or error behavior, but it is largely complete for calling this tool 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?

The schema provides only a bare string property with 0% description coverage, so the description must compensate. It does: 'Optional date YYYY-MM-DD, default the latest' specifies the format, optionality, and default behavior. It stops short of explaining timezone handling or valid date ranges, but this is solid compensation for one 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 names a highly specific resource: the per-day Merkle digest of reveals, hire deliverables, and verification records on BNB Greenfield, sealed on opBNB. The purpose is unmistakable, though it lacks an explicit verb like 'fetch' or 'list' and does not directly differentiate itself from 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?

There is no guidance on when to prefer this tool over alternatives such as list_reveals, attestation_stats, or data_changelog. The only contextual hint is the parameter default ('default the latest'), which addresses invocation behavior, not tool selection.

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 the full burden of behavioral disclosure. It does disclose the kind of data returned (date, tools affected, count) and the optional tool filter, which is useful. However, it does not mention ordering, default limit behavior, pagination, or any caveats about how far back the changelog goes.

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 before listing example change types. The second sentence is telegraphic but still conveys the optional filter and limit. Minor structural roughness keeps it from a 5, but there is no wasted verbiage.

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?

This is a simple read-style tool with only two optional parameters and an output schema present, so the description does not need to detail return values. It explains what is in the changelog and how to filter it. The main omissions are default limit behavior and ordering, which are useful but not critical for a basic call.

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 schema's silence. It adds modest meaning by explaining that tool is an optional name filter and that limit is available. It does not clarify what limit controls precisely, whether there is a max/default, or what tool names are acceptable.

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 identifies the resource (every change to the data this server sells) and gives concrete examples such as rule flips, label fixes, and duplicate removals. It lacks an explicit verb like 'Returns' or 'Lists,' but 'Dated record of every change' sufficiently conveys a listing tool. It also distinguishes itself from most siblings by describing its specific changelog content.

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 instead of siblings such as agent_report, market_state, or instrument_spec. The only usage-related information is that the tool parameter is optional and acts as a filter, which is parameter guidance rather than contextual use guidance. No alternatives, exclusions, or conditions are mentioned.

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 the full burden. It discloses authentication/payment requirements upfront and mentions the inclusion of verification links ('links to verify every signal on chain'). It does not discuss side effects or read-only nature explicitly, but as a report tool, it's reasonable to infer safety. The disclosure of access prerequisites is 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 a dense wall of text, with the payment requirement taking the entire first sentence—secondary to the actual purpose. The second sentence enumerates many components without clear structure or front-loading of the core action. It is overwritten and could be split into a clear purpose statement followed by usage details.

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 covers the tool's output contents in detail and mentions access requirements, but it omits any explanation of the `chain` parameter, which is a core input. While the output schema exists to document return values, the input semantics remain ambiguous. The tool's complexity (nine chains, many components) could benefit from more explicit usage guidance and clarification of the parameter's role.

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 description does not mention the `chain` parameter at all, despite the schema having a single enum parameter with 0% description coverage. The agent is left unaware whether to pass a chain, what it controls, or if it is optional. The description focuses on the overall output but fails to explain how the parameter affects the result, leaving a critical gap in usage understanding.

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 explicitly states the tool's purpose: 'The complete nine chain research brief in one call' and enumerates the components (market report, signal stream, correlations, volatility, etc.). It distinguishes itself from siblings by claiming 'The most complete single answer this server produces,' making the resource and scope unambiguous.

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 clear context on payment/auth requirements ('Requires a ChainHelix API key as bearer token, or 25 cents per call...') but does not explicitly direct when to use this tool versus alternatives. It implies comprehensiveness ('most complete') but does not name sibling tools or state when not to use it. No explicit routing or exclusions 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?

No annotations are provided, so the description carries the behavioral disclosure burden. It usefully signals that the tool is instructional rather than an action that performs verification, and it enumerates the topics covered. It does not explicitly state that invocation is read-only or side-effect free, but for a zero-parameter reference tool that is a moderate gap.

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?

One compact sentence that front-loads the user intent and then lists only concrete content specifics. Every phrase earns its place, and no redundant or filler wording is present.

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 zero-parameter documentation tool with an output schema present, the description adequately covers what the tool provides and how an agent can use it. It does not explicitly differentiate from closely related sibling tools, but the low invocation complexity and output schema reduce that need.

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 zero properties and 100% schema description coverage, so there are no parameter semantics to explain. With no parameters, the baseline of 4 applies; the description does not need to add parameter-level detail because none exists.

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 the exact subject—a sealed delivery claim—and lists concrete contents: canonical form, hash, calldata layout on opBNB, check meanings, and repeatable verification steps. This makes its purpose as a specification/reference clear, though it does not explicitly contrast it with sibling tools like verified_delivery or delivery_status.

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 phrase "verify a sealed delivery claim yourself" and "steps to repeat them" imply the tool is for retrieving or learning the verification procedure rather than executing it. However, it gives no explicit when-to-use versus alternatives such as verified_delivery or delivery_status, and no exclusions, so the guidance remains implied.

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 a good job: it explains the auth options, the per-call payment requirement, the 'once sealed' timing, and the refusal-before-charge behavior for hires without a claim. It omits minor details like error handling for invalid inputs, but the provided behavioral context is substantial.

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 moderately verbose and buries the core purpose after an extended payment/auth clause. The content is relevant, but restructuring to lead with the tool's function and condensing payment details would improve scannability.

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 presence of an output schema reduces the need to explain return values, and the description does cover auth, payment, input selectors, and refusal behavior. Still, it lacks a clear statement about whether one identifier or multiple can be supplied, and it gives no comparative context against sibling delivery tools.

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 schema provides zero descriptions for the three parameters, so the description's mapping of 'job id', 'sequence number', and 'claim hash' to the schema properties adds real value. However, it does not clarify whether exactly one is required or what format the hash string must take, leaving room for ambiguity.

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 identifies a specific resource ('the sealed delivery claim for a hire') and states the returned outputs (claim, hash, opBNB transaction). It does not explicitly distinguish itself from sibling tools like verified_delivery or delivery_spec, which prevents a perfect 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 given on when to use this tool versus alternatives. It describes the input identifiers and the authentication/payment prerequisites, but does not state conditions, exclusions, or compare with sibling delivery-related tools. Usage context is only implied.

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 disclosing behavior. It transparently states authentication requirements (API key bearer token or paid per-call via Binance/x402), ordering ('newest first'), and what the returned data includes. It also mentions that receipts include seal information 'once sealed', hinting at eventual consistency. This is substantial behavioral disclosure, though it omits details like rate limits or error handling, leaving room for improvement.

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 a single dense sentence that front-loads critical authentication/payment info before the functional description. It packs a list of output fields and optional parameters efficiently, with no superfluous filler. While it is a bit of a run-on, it is appropriately sized for the amount of information and has a logical flow from auth to behavior to parameters.

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 tool has an output schema, so return values are structurally defined; the description complements it by listing fields in prose. It covers authentication, payment options, ordering, and optional parameters with defaults. For a moderate-complexity tool, the description is sufficient for an agent to decide whether to call it and how to pass parameters. Minor gaps like parameter units or error semantics are manageable.

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 explicitly notes that instrument, signalTs, and limit are optional, and specifies limit's default (50) and maximum (500). However, it does not explain the semantics of signalTs (e.g., units, timezone) or instrument values beyond the schema enum. It adds value by stating optionality and limit constraints, but does not fully clarify all parameter meanings.

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: 'Exchange fill receipts of the instrument lane, newest first', and enumerates the fields returned (signal timestamp, venue, side, quantity, price, slippage, order id, seal batch/transaction). This is a specific verb+resource that distinguishes it from siblings like verify_fill (which verifies a single fill) and receipt_spec (a specification).

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 explicit guidance on when to use this tool versus alternatives, such as verify_fill or instrument_signals. It is implied by the name and the description that this retrieves historical fill receipts, but no when/when-not conditions or alternative tool names are mentioned. The agent must infer usage from the tool name and sibling context.

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 must carry the behavioral burden. It discloses that the check is free, returns content hash and validUntil, and explains the requiresArguments behavior. It also clarifies that the paid answer carries its own meta.contentHash, giving full transparency without contradiction.

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 longer than average but each sentence adds value: purpose, mechanics, and edge case. It front-loads the core purpose and orders information logically, making it efficient to parse despite its length.

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 output schema exists and the description explains the primary use case, the optional parameter, and the requiresArguments nuance, the tool is adequately described for an agent to use correctly. No critical missing information for the tool's simple interface.

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 already covers the parameter 'name' with 'one data tool to check; omit for all' and 100% coverage. The description only reiterates this ('Optional name for one tool') without adding new meaning, so it does not go beyond the schema baseline.

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: providing content hash and validUntil for data tools' default results, enabling users to check freshness before purchasing. It distinguishes itself from data-providing siblings by being a meta-check tool, and the concrete details (hash, validUntil, chains) make it unambiguous.

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?

It explicitly frames the tool as a 'Free check before you pay' and explains that if the hash matches, no purchase is needed. It also covers the edge case for tools requiring arguments, noting they have no default result and their paid answer carries its own contentHash. While it does not name alternative tools, the purchasing context is clear enough for an agent to know when to invoke it.

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 burden of behavioral disclosure. It transparently states authentication and payment prerequisites, including bearer token or per-call payment options, and explains that metrics are compared against 24-hour averages. It does not mention side effects, rate limits, or whether the operation is read-only, but for a network-state reporting tool with an output schema this is a moderate gap.

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 packs meaningful detail: auth/payment requirements, metric definitions, and the omit-chain behavior. The payment sentence is long but necessary for invocation. It is structured effectively, leading with prerequisites and ending with the parameter behavior.

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 one optional parameter and an existing output schema, the description covers the essential invocation details: prerequisites, metric semantics, and how to request all chains. It does not discuss time windows or units, but those may be derivable from the output schema. The main missing piece is differentiation from sibling tools, which is more of a usage-guideline gap.

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 does by explaining that the `chain` parameter selects a specific chain, and that omitting it returns all nine chains. The enum values are already in the schema, and the description adds the crucial optionality and aggregation semantics.

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 identifies what the tool reports: network load per chain with specific metrics like transaction count, MEV count/rate, average gas, and large transactions, compared against 24-hour averages. It also clarifies scope with 'Omit chain for all nine.' It lacks an explicit active verb like 'returns' or 'gets,' and it does not name a direct sibling, but the metric list makes its function reasonably distinct.

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?

There is no guidance on when to choose gas_state over sibling tools like congestion, mev_pressure, or market_state. The only call-time instruction is 'Omit chain for all nine,' which is parameter guidance rather than tool-selection guidance. No exclusions or alternatives are mentioned.

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, and it does well: it states authentication requirements (ChainHelix API key as bearer token), per-call costs with payment methods, ordering ('most active first'), and window constraints (default 168, max 2160). It does not mention rate limits or failure behavior, but the key operational traits are 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?

The description is dense and mostly front-loaded: payment/auth requirements come first, then the core purpose, then the parameter details. There is no filler, though the payment sentence is long and contains more detail than strictly necessary. Overall, each 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 tool has no required parameters and an output schema exists, the description covers the essentials: auth, cost, space, window, ordering, and output content. The unexplained 'limit' parameter and lack of a concrete usage example are notable gaps, but the tool is usable with the provided information.

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 clarifies 'space' (Snapshot space id) and 'window' (hours, default, max), which is valuable. However, the 'limit' parameter is left entirely unexplained, leaving a meaningful gap in the parameter semantics.

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 identifies the tool's purpose: retrieving DAO governance data from Snapshot over a time window, specifically proposals, votes, and scores per space. It also notes the ordering ('most active first'), which clarifies what the tool returns. However, it does not explicitly differentiate this tool from its many siblings, so it stops short of a 5.

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 through the domain description: if you need Snapshot governance activity for a space, this is the tool. The description also explains how to set 'space' and 'window' parameters. But it gives no explicit guidance on when to prefer this tool over alternatives or when not to use it.

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 the full burden and does so excellently: it discloses deterministic arithmetic, no custody, no execution, no fee/slippage/gas/PnL computation, the quote+calldata return flow, and the on-chain escrow funding step. This gives an agent a realistic model of side effects and 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?

The description is longer than average, but every sentence earns its place: purpose, behavior, exclusions, return contract, cost, canonical schema link, and a concrete example. It is front-loaded with the core purpose and avoids 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 the transaction-related workflow and no annotations, the description is remarkably complete: it covers inputs, deterministic behavior, non-goals, output artifacts, funding/escrow, cost model, external canonical reference, and an example. An agent has enough to invoke it correctly and anticipate the follow-up steps.

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 schema already documents every parameter and alias; the baseline is therefore 3. The description adds useful behavioral context for walls and the mark-price/budget relationship, but does not need to explain each parameter further.

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 uses a specific verb ('Plan a hire'), names the exact agent (ChainHelix gridtrader, ERC-8004 #269224), and explains the concrete outcome: a symmetric buy/sell grid with wall annotations. This distinguishes it clearly from sibling hire_plan_* tools that target different agents or strategies.

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?

It states when to use the tool ('Given a mark price and a budget'), what it will not do ('Not a bounded-loss or profit-target strategy'), and clarifies the free vs. paid job boundary. It does not explicitly name alternative hire_plan_* sibling tools, so the guidance stops short of a full when-not/alternative matrix.

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 the full behavioral burden and does so well: it discloses deterministic arithmetic, no custody, no execution, the free-vs-paid nature of the call versus the job, and the expected workflow of receiving a quote and calldata before funding. This goes well beyond what the schema conveys.

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 dense but front-loaded with the core purpose, then logically moves through modes, workflow, and example. Every sentence contributes useful information, though the paragraph is long enough that a little more structure (e.g., separating modes) could improve scannability.

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 nested objects, two mutually exclusive modes, and an on-chain workflow, the description covers the necessary context: both modes, the job parameters, the free-call distinction, the wallet-signed quote and calldata steps, and a valid example. The output schema exists, so return-value details are not required in the description.

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 baseline is 3. The description adds a concrete example and clarifies the mutually exclusive position-vs-collateral/debt groups, but does not need to explain each parameter because the schema already documents them thoroughly.

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: 'Plan a hire of the ChainHelix healthmon agent (ERC-8004 #269228, Position health report).' It then distinguishes the two supported modes (lending health and LP range health), making its purpose unmistakable and separating it from sibling hire_plan 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 gives clear when-to-use guidance for both input variants: send collateral/debt/prices for lending health, or send position for LP range health. It also states operational boundaries ('One question per job', 'no custody, no execution'), though it does not explicitly name sibling alternatives such as hire_quote.

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 transparency burden and delivers. It discloses 'Deterministic arithmetic, no custody, no execution,' which clarifies the tool only plans and does not trade or hold funds. It also explains the on-chain escrow cost, the wallet-signed quote, and the workflow (sign calldata, fund, tell agent). This is excellent behavioral disclosure beyond structured fields.

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 longer than the ideal but every sentence contributes: purpose, outputs, safety guarantees, workflow, cost, schema reference, and an example. It is front-loaded with purpose and does not waste words, though the workflow sentence is dense and could be split for clarity. Given the tool's complexity, this structure earns a 4.

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?

This is a complex tool involved in a multi-step agent hiring process, and the description covers the full orientation: the planning outputs, the quote/calldata handoff, the funding step, the cost model, and the external schema link. Since an output schema exists, the description doesn't need to detail return values, and it even goes beyond by describing the broader hiring workflow. No necessary context is missing.

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 all six parameters in detail. The description adds value by mapping the core inputs ('Given current holdings, target weights and prices') to the actual parameters, providing a complete JSON example, and linking to the agent card for the authoritative schema. This exceeds the baseline 3.

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 'Plan a hire of the ChainHelix rebalancer agent' – a specific verb, resource, and agent type. It further distinguishes itself from sibling hire_plan_gridtrader, hire_plan_healthmon, and hire_plan_yieldopt by naming the rebalancer and detailing its rebalancing outputs (current vs target weights, drift, trade list).

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 clearly implies when to use this tool: when a user needs a rebalancing plan from the ChainHelix rebalancer agent. It provides the input context (holdings, targets, prices) and notes the free/paid distinction. It does not explicitly name alternatives or say when not to use it, but the agent-specific naming makes the selection unambiguous.

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 the full behavioral burden and handles it well. It discloses deterministic arithmetic, no custody, no execution, that the call is free while the job is not, and that the response includes a wallet-signed quote and createJob calldata for the user's own wallet.

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 dense but each sentence adds value: purpose, behavior, workflow, cost, canonical schema link, and example. It is longer than minimal, partly because it restates the example already present in the schema, but the structure is front-loaded and the extra context is worthwhile.

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 complex, no-annotation tool, the description covers the operational contract comprehensively: what the plan produces, how caps affect allocation, what the user must sign and fund, the cost model, and where the authoritative schema lives. Nothing critical for correct invocation is missing.

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% and each property already documents defaults, ranges, and aliases. The description adds context about candidate pools, capital, and caps but mostly mirrors the schema and repeats its example, so it does not substantially enrich parameter 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 action ('Plan a hire of the ChainHelix yieldopt agent'), names the exact resource (ERC-8004 #269226, Yield allocation across pools), and describes the concrete output (allocation per pool, blended APY, unallocated capital). This clearly differentiates it from siblings like hire_plan_gridtrader and hire_plan_rebalancer.

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 clearly frames when this is appropriate: planning a hire before funding/execution, with 'no custody, no execution' and a free planning call versus a paid job. It does not explicitly name alternatives or state when not to use it, so it stops short of full exclusion guidance.

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 of behavioral disclosure. It transparently explains authentication/payment paths, the type of result returned (signed offer envelope and funding steps), and the eligibility constraint. It makes clear the tool requests a quote, not immediate funding, which is valuable behavioral context.

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 three dense sentences with no filler; each sentence carries distinct information about requirements, outcome, and eligibility. The payment routing details are long but relevant to successful invocation. It is slightly back-loaded because requirements precede the core action, but the structure remains clear.

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 gives strong selection-level context and an output schema exists for the return envelope, so the outcome is reasonably covered. However, the unexplained required id and vague terms parameter leave an agent without enough detail to construct a valid request confidently. With no annotations and no schema property descriptions, this gap is significant.

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 explaining the three parameters, but it only loosely mentions 'task description and terms'. The required numeric id is never explained, including where it comes from or how it relates to the live map of hireable agents. The terms object format is also left unspecified.

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: ask a hireable agent on BNB Smart Chain for a live signed ERC-8183 quote through ChainHelix. It identifies the resource and outcome, and it distinguishes itself from the hire_plan_* siblings by focusing on a live quote rather than a plan. The scope is concrete and actionable.

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 gives clear context: call this when you need a live signed quote from a hireable agent before funding a job, and only use it for agents the live map lists as hireable. It also states important prerequisites such as the API key or per-call payment requirement. It does not explicitly name alternative tools or when-not conditions, so it falls short of a 5.

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 the full behavioral burden. It usefully discloses that these are derivatives, never the share, and enumerates what fields the list contains. It does not explicitly say the tool is read-only or side-effect-free, though 'list' strongly implies that.

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 at two sentences and packs in relevant domain context without fluff. 'The label every answer uses' is slightly cryptic, but it does not seriously hurt readability or usability.

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 zero-parameter tool with an output schema, the description is nearly complete: it states the venue, underlying instruments, chain, and the categories of data returned. The main gap is the lack of guidance on when this tool should be used relative to instrument_spec or instrument_state.

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 tool has zero parameters and the input schema is empty, so the baseline is 4. The description adds meaningful context about what data the list exposes, which is sufficient since there is nothing for a caller to configure.

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 identifies the tool as an instrument list for a specific lane (ChainHelix) and enumerates its contents: venue, contract, chain, fees, funding cycle, session policy, and label. It does not use an explicit action verb like 'list' or 'fetch,' and it does not explicitly distinguish itself from sibling tools such as instrument_spec or instrument_state, but the resource and scope are unmistakable.

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 is given about when to use this tool versus alternatives like instrument_spec, instrument_state, or instrument_signals. The phrase 'the label every answer uses' hints at a general-purpose reference role, but it does not state when to choose this tool or when to avoid it.

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 the full burden. It discloses authentication/payment requirements (ChainHelix API key bearer token or per-call payment), ordering (newest first), and a meaningful data semantics detail (signals without a seq were written before the stream started or are not yet committed). However, it does not disclose pagination behavior beyond limit, error conditions, or what happens when no signals match.

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 a single dense paragraph that front-loads payment/auth requirements before explaining the core function. It is not excessively long, but the payment details dominate the opening and delay the actual purpose. The structure is acceptable but not optimally 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?

The tool has an output schema, so return values need not be described. The description covers auth, ordering, commit status semantics, and optional parameters. However, it lacks explicit guidance on when to choose this over sibling tools like latest_signals or verify_instrument_signal, and the instrument parameter semantics are thin. It is adequate but has clear gaps.

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 mentions 'Optional instrument id and limit (default 50, max 500)', which adds meaning for limit, but it does not explain the instrument parameter's allowed values or semantics beyond the schema's enum. The description adds some value but leaves the instrument parameter under-explained.

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: it 'lanes signals' (returns instrument lane signals) for the paper book on the BNB Chain venue, newest first, with commit status. It is distinguishable from siblings like latest_signals and verify_instrument_signal, though it does not explicitly name them. The purpose is clear enough for an agent to know what the tool returns.

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 usage context by describing the data returned and optional parameters, but it does not explicitly state when to use this tool versus alternatives such as latest_signals or verify_instrument_signal. It mentions optional instrument id and limit, giving some operational guidance, but lacks explicit when-to-use or when-not-to-use conditions.

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 discloses that the tool is a reference/instructions source ('How to ... yourself') and enumerates what it covers, implying a read-only documentation behavior. It does not explicitly state that it performs no live verification or chain queries, but the phrasing is enough to avoid mistaking it for a mutating or verifying 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?

One sentence front-loads the primary use and uses a colon to compactly list the delivered content. No filler or repetition of the schema; every element 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?

The tool is a simple parameterless spec with an output schema, and the description names the specific network (opBNB), the relevant domain artifacts (instrument signal commit, fill receipt, CHXI calldata layouts, reveal rule). It is complete enough for an agent to select and invoke correctly, though it leaves the relationship to verify_instrument_signal / verify_fill implicit.

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 zero parameters and 100% description coverage, so there are no parameter semantics to document. Baseline for a parameterless tool is 4; the description adds no parameter info because none is needed.

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?

Description opens with a specific purpose—'How to verify an instrument signal commit and a fill receipt yourself'—and scopes the content to 'canonical forms, hashes, CHXI calldata layouts on opBNB, reveal rule.' It clearly identifies the tool as a self-verification reference rather than a live verifier, and its scope differentiates it from sibling verify tools such as verify_instrument_signal and verify_fill.

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 'yourself' framing implies an agent should reach for this spec when it needs canonical forms/hashes for independent verification rather than calling the built-in verification tools. It gives clear context and content boundaries, though it does not explicitly name the alternative tools or state when not to use it.

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 burden. It discloses payment requirements (API key or per-call fee), the data fields returned, optional instrument id, and meta information (contentHash, validUntil) for freshness. This provides substantial behavioral context beyond the schema.

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 a single run-on paragraph mixing payment info, data fields, optional parameter, and meta details. It is not front-loaded and lacks clear structure, making it harder to parse quickly.

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 read tool with one optional parameter and an output schema, the description covers the essential aspects: what it returns, payment, and freshness. However, it lacks usage guidance and does not mention any potential side effects or rate limits, leaving some gaps.

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 adds meaning by stating 'Optional instrument id' and implying that omitting it returns all instruments ('each instrument'). This clarifies the parameter's role beyond the raw enum values.

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 provides the live state of instruments, listing specific fields like mark, index, basis, funding rate, etc. It is specific about the resource and what it returns, but does not explicitly differentiate from siblings like market_state or prices.

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?

There is no guidance on when to use this tool versus alternatives such as market_state or prices. It only mentions an optional instrument id and payment requirements, but no context on selection criteria or when not to use it.

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 behavioral burden. It mentions the bearer token requirement and payment options, which is useful, but it does not explicitly state this is a read-only data retrieval, describe what the output represents (e.g., absolute levels or ratios), or disclose freshness/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 leads with a lengthy payment clause, pushing the actual purpose to the second sentence. This buries the core function and forces the agent to parse pricing before understanding what the tool does. The information is compact but poorly ordered.

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 zero-parameter tool with an output schema, the description provides the key data scope (BTC/ETH IV, current vs. week ago) and critical access requirements. However, it leaves ambiguity around what 'near term' means and what exactly is returned (e.g., single value vs. series), which an agent might need 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?

There are zero parameters and the schema is empty, so the description has no parameter semantics to add. Per the baseline for 0-parameter tools, a score of 4 is appropriate; no further elaboration is needed.

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 identifies the resource: near-term option implied volatility for Bitcoin and Ethereum, comparing current values to one week ago. It is distinct from siblings like options_skew, though it lacks an explicit verb like 'retrieve' or 'get'.

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 alternatives, such as options_skew or market_state. It only details payment/authentication requirements, not selection criteria or typical use cases.

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 behavioral burden. It does disclose the core behavior — checking payment visibility and claim readiness — but does not mention whether the check has side effects, whether it consumes the token, or what happens for invalid/expired tokens.

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?

A single, front-loaded sentence states the action, the required input, and the two reported outcomes. There is no redundant phrasing or 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 simple one-parameter status-check tool with an output schema, the description covers the essential calling context: what input to provide and what questions the result answers. No additional prerequisites or behavioral caveats are necessary for basic 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?

The schema provides only the parameter name and type, so the description adds essential meaning by identifying the token as a claim token from buy_key. This is sufficient for a single string parameter, though it could have specified the token format or origin more precisely.

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 ('check') and resource ('key order created with buy_key'), and clarifies exactly what the tool reports: whether payment was seen and whether the key is ready to claim. This clearly distinguishes it from buy_key (creation) and claim_key (claiming).

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 the correct usage context: after buy_key, before claiming, using the claim token. It does not explicitly contrast with claim_key or state 'use this instead of X', but the workflow is clear enough that an agent can infer when to poll this tool.

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 burden, and it discloses several important behaviors: bearer-token requirement or per-call cost, newest-first ordering, on-chain sealing that prevents later edits, and free verification. It does not cover rate limits, failure modes, or pagination, but the auth/cost and immutability details exceed typical coverage.

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 contains useful, non-redundant sentences, but it front-loads a dense auth/payment clause before stating what the tool does. The payment detail is long and specific, which delays the purpose statement and makes the description less scannable.

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 two-optional-parameter list endpoint with an output schema, the description covers auth, cost, ordering, signal fields, immutability, verification, and parameter constraints. Minor gaps are defaults and explicit differentiation from sibling tools, but nothing essential to invoking it correctly is missing.

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 schema has 0% property descriptions, so the description must compensate. It does state that chain is optional and that limit caps at 50, which adds a max constraint not present in the schema. It does not explain what the chain filter does when omitted or what exactly limit counts, leaving some semantics to inference.

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 identifies the resource as the live ChainHelix signal stream in newest-first order and details what each signal contains, so an agent understands what the tool returns. It lacks a direct verb like 'list' or 'fetch' and does not explicitly distinguish latest_signals from sibling instrument_signals, so it stops short of a 5.

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 when-to-use guidance or exclusions are given. The only alternative mentioned is using the free proof tools for verification, which is tangential to retrieving signals. It never explains how latest_signals differs from instrument_signals or when to choose this over other signal 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 the full transparency burden and largely succeeds: it discloses auth/payment requirements, the per-chain/hour cadence, attestation/provability details, and the meaning of an empty result via checkedThrough. These are behavioral traits beyond what the schema provides.

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?

Every sentence adds necessary information, but the paragraph is dense and starts with payment details rather than the tool's core purpose. It is not front-loaded or easily scannable; a brief summary line and separation of behavior from parameters would improve it.

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 no required parameters and an output schema, the description is essentially complete: it covers auth/cost, alert semantics, filtering options, freshness, attestation, and empty-result interpretation. An agent has enough context to call it 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 0%, but the description defines the read enum values (vol_spike_long, capitulation_long, onchain_spike_long) and provides defaults and maximums for hours and limit. It also indicates that chain, read, hours, and limit are optional, adding meaning the bare 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 clearly identifies the resource as lead alerts on nine chains, newest first, and enumerates the three alert types with definitions. It lacks an explicit verb like 'list' and does not contrast itself with sibling tools such as latest_signals, so it is clear but not fully differentiated.

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?

It specifies supported chains, alert types, and optional filters with defaults and maximums, which gives an agent enough context to shape a request. It does not explicitly state when to use this tool versus alternatives like verify_lead_alert, so the usage guidance is implied rather than direct.

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 of behavior. 'Explained' clearly signals a read-only informational operation, and 'how to verify an alert commit... without trusting us' adds context about the verification content. It does not explicitly state that no state changes occur, but the documentation nature is strongly evident.

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 a single, compact sentence that front-loads the purpose with 'The lead alerts explained' and then packs the relevant subtopics into a comma-separated list. Every phrase adds content, with no redundancy or schema repetition.

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 no-input specification endpoint, the description covers the essential aspects of lead alerts: measurements, write behavior, alert fields, webhook event, and verification. With an output schema present and no parameters to misuse, an agent has enough context to invoke the tool 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?

The tool has zero parameters and schema description coverage is 100%, so there are no parameter semantics for the description to explain. The baseline of 4 applies because nothing is missing.

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 'lead alerts explained' and enumerates the concrete topics covered: the three reads, alert write timing, alert fields, the webhook event, and commit verification. This makes it obvious that the tool is a specification/documentation endpoint and clearly distinguishes it from data-retrieval siblings like lead_alerts or verify_lead_alert.

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 explanatory tone and 'spec' naming imply it should be used when the agent needs to understand lead alert semantics. However, the description never explicitly says when to use this tool instead of lead_alerts or verify_lead_alert, and it does not provide any exclusions or alternative routing.

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 the behavioral burden. It discloses authentication/payment requirements (bearer token or per-call fee), the 25-name limit, and the return behavior: an entry for known names or candidates for unknown/ambiguous ones. It does not explicitly state read-only behavior, but 'resolve' and the described outcome make side effects unlikely.

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?

Only two sentences, with no filler. The first sentence is dense with detailed payment options, but that information is necessary given the absence of annotations. The second sentence efficiently conveys the core operation and item format. It could be more compact, but every part 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?

The output schema is present, so return values need no elaboration. The description covers authentication/payment, batch limits, input item shapes, and unknown/ambiguous handling. For a batch lookup tool with this complexity, an agent has everything needed to invoke it 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?

The schema already covers the names parameter at 100%, setting a baseline of 3. The description adds value by clarifying each item can be a plain name or an object with namespace and venue, and by pointing to lexicon_resolve's hints for richer meaning. This goes slightly beyond the schema's own description.

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: 'Resolve up to 25 argument names against the ChainHelix Agentic Lexicon in one call.' It clearly distinguishes itself from the sibling lexicon_resolve by emphasizing the batch nature and explicitly referencing lexicon_resolve's hints, so an agent can tell them apart.

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 batch context is clear: 'up to 25 ... in one call' implies use when resolving multiple names, and the reference to 'the same hints as lexicon_resolve' links to the single-item alternative. However, it does not explicitly state when not to use this tool or provide a direct when-to-use comparison.

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 a lot: it discloses the per-call price, payment rails and assets, API-key exclusion, downloadable-link response, 7-day validity, 50-download limit, patch inclusion, and version purchase behavior. It is not perfectly exhaustive about failure modes, but it is unusually transparent.

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 information-dense and every clause carries meaning, but it is not well front-loaded: the first sentence is entirely about pricing and payment rather than the tool's core purpose. It reads more like a purchase notice than a concise tool definition.

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 zero-parameter paid download tool, the description covers the important operational facts: payment mechanism, output format, link validity, download limits, versioning, and patching. It is complete enough for an agent to know when and how the tool is invoked and what to expect back.

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?

There are zero parameters Gang, so parameter semantics are not a burden. The schema already carries bundleSha256 and version metadata, and the description adds relevant context about what the delivered files will contain and how to verify them via sha256.

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 clear verb and resource: 'Download the whole ChainHelix Agentic Lexicon.' It explicitly lists what the bundle includes (entries, licences, attribution table, change log) and distinguishes it from siblings by emphasizing the 'whole' bundle rather than individual lookups or specs.

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 use case is implied: use this tool when you need the entire current lexicon bundle. There is useful context that it is paid and that 'A ChainHelix API key does not cover this tool,' but there is no explicit when-to-use versus alternatives like lexicon_resolve or lexicon_bulk.

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 burden. It does disclose the authentication/payment mechanism (API key or per-call payment), which is a significant behavioral trait. However, it doesn't mention other important aspects like response format (although output schema exists), side effects, or failure modes beyond ambiguity. It states that ambiguity results in candidates, which is helpful but not exhaustive.

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 a single long paragraph with a run-on structure. The authentication requirement is placed first, which might be important, but it delays the core purpose. It could be broken into sentences for better readability. It includes necessary details but lacks front-loading of the primary action.

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 tool has an output schema, so the description doesn't need to explain return values in detail. It covers the essential inputs (name, optional namespace, venue), and handles the ambiguous case. The main gaps are not listing prerequisites for the optional parameters or typical use cases, but the description gives enough 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 67%: the description covers 'name' and 'venue' with examples, but 'namespace' is only described via its enum. The description adds meaning by explaining that venue resolves through ccxt's mapping, and provides example names for the 'name' parameter. It partially compensates for the missing schema description of 'namespace' by listing the allowed values in the schema, so the combination is adequate.

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 explicitly states the verb 'Resolve' and the resource 'one argument name against the ChainHelix Agentic Lexicon', and distinguishes it from sibling tools like lexicon_bulk and lexicon_spec by focusing on single resolution with candidates for ambiguity. It clearly communicates the function and scope.

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 clear context on when to use the tool: to resolve an argument name, and explains the returned data (entry or candidates) when the name is unknown or ambiguous. It also mentions optional parameters for namespace and venue, which helps with usage. However, it doesn't explicitly contrast with alternatives like lexicon_bulk, but the purpose is distinct enough.

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 of behavioral disclosure. It does reveal the refusal convention (unknown names are refused before payment) and that meaning tools are paid, adding useful context. But it does not state whether calling lexicon_spec itself is free, read-only, or what its response/error behavior is beyond the refusal note. Some behavioral traits are mentioned, but call-level behavior is sparse.

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 a single dense sentence with several semicolon-separated clauses. It is front-loaded with the core content (argument names, representations, units), but the run-on structure makes it harder to scan than necessary. Every clause carries information, but splitting into clear bullet-like parts would improve readability.

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 zero-parameter tool with an output schema, the description need not explain return format. It covers the spec's contents, the alternative paid tools for meanings, and an important edge case (refusal convention). It could be more explicit about whether calling this tool is free or read-only, but overall the description gives enough for an agent to use this tool 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?

The tool has zero parameters, so there is nothing for the description to add beyond the schema. The schema is trivially fully covered. With no parameters, the baseline is 4, and the description appropriately says nothing about parameters.

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 identifies the resource (ChainHelix Agentic Lexicon) and lists its contents: argument names, representations, units, version, bundle hash, namespaces, counts, entry rule, and refusal convention. It lacks an explicit verb like 'retrieves' or 'returns', so an agent must infer that calling this tool yields this spec. It does differentiate itself from lexicon_resolve/bulk/bundle by stating that meanings are in those paid 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 this tool should be used when an agent needs argument names, representations, units, version, or bundle metadata, and it points to lexicon_resolve/bulk/bundle for meanings. However, it does not explicitly state 'use this tool for X' or give exclusions against other *_spec tools. The usage context is present but not directive.

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 the full burden of behavioral disclosure. It discloses several important behaviors: the cost (3 dollars per call), the payment channels (Binance b402 over USDT/USDC/USD1/U on BNB Smart Chain, or x402 over USDC on Base), the fact that an API key does not cover this tool, the refusal conditions (unknown name refused before payment, agent with no argument schemas refused before any charge), and the signing mechanism (EIP-191 by the ChainHelix statement signer). This is substantial behavioral transparency for a paid 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 a single dense run-on sentence that packs pricing, payment rails, refusal conditions, signing details, and schema-checking behavior into one block. It is not front-loaded with the core purpose; the purpose is buried in the middle. While every clause carries information, the lack of structure makes it hard to parse. It would benefit from sentence breaks and a clearer lead.

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 (payment, signing, conformance checking, refusal conditions) and the presence of an output schema, the description covers the essential operational context: cost, payment methods, what is checked, refusal conditions, and signing. It does not explain the output schema's contents, but the output schema exists and the description need not repeat return values. The main gap is that the description is hard to parse, but informationally it is fairly 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 100%, so the schema already documents the single parameter 'id' as 'the agent's ERC-8004 token id on BNB Smart Chain'. The description adds context about the id being the agent's token id, but it doesn't add much beyond the schema. Baseline 3 is appropriate because the schema does the heavy lifting.

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: obtaining a signed conformance statement for an agent on the BNB Smart Chain ERC-8004 registry, checked against the ChainHelix Agentic Lexicon. It clearly identifies the resource (the agent's ERC-8004 token id) and the output (a signed EIP-191 statement). It is somewhat dense and jargon-heavy, but it does convey what the tool does and distinguishes it from generic attestation 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: when an agent needs a signed conformance statement for the ChainHelix Agentic Lexicon, and it notes that a ChainHelix API key does not cover this tool (a payment prerequisite). It does not explicitly name alternatives or say when not to use it, but the context of sibling tools like lexicon_bulk, lexicon_resolve, and attest suggests the agent can infer the niche. The payment and refusal conditions provide some usage context.

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