Ariadne Nexus Quantitative Engine

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

No annotations are provided, so the description carries the full burden. 'Computes... modeling' strongly implies a pure, side-effect-free calculation, and it names what outputs are produced, but it never states that it is deterministic, read-only, or that it requires no external calls or auth — the most important behavioral facts for an agent deciding to call a fee calculator.

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 sentence with no filler, and the key outputs are front-loaded after the verb. Dense but efficient; the jargon costs a little readability without adding wasted words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

All four parameters are optional with defaults and there is no output schema, so the description should ideally explain return shape and how tier/billing_interval drive the numbers. It names the computed outputs, which partly compensates, but leaves the tier/interval mechanics and the return structure unexplained.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 50% and the two documented params (bridge_volume_usd, clearing_volume_usd) already carry their meaning; the description's mention of take-rates and bridge tolls loosely maps to them. However, it adds nothing about how 'tier' or 'billing_interval' change the result, which is the main semantic gap the schema leaves open.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb ('Computes') plus three concrete output quantities (take-rates in bps, bridge settlement tolls, net annual fee modeling) scoped to prospective RWA syndication vaults. No sibling does anything comparable, so confusion risk is low, though the heavy jargon makes the resource slightly harder to pin down than a plain-language statement would.

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 explicit when-to-use or when-not-to-use guidance and no alternatives are named. The phrase 'for prospective RWA syndication vaults' weakly implies the context (pre-deal fee modeling) but the agent must infer that.

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 not meet it. It never states that this is a non-mutating read/compute operation, that an apiKey may be required for authenticated or metered access, or whether the optional paymentToken implies a paid/credit-consuming call — a material omission for a valuation API.

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 dense sentence with no filler, front-loaded with the primary action and then the specific computed metrics. Every clause contributes information an agent can act on.

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 no output schema, the description usefully enumerates the returned metrics, which is exactly what is needed to judge whether to call it. It falls short on behavioral context — authentication expectations, cost/credit implications of the optional paymentToken, and the asset_type enum's effect on results are all unaddressed for an 8-parameter tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 88%, so the schema already documents cusip, apiKey, face_value, coupon_rate, market_price, paymentToken, and maturity_years with formats and defaults. The description adds no parameter-level detail beyond what the schema supplies, so the baseline of 3 applies. The only undocumented element is asset_type's enum semantics, which the description also does not address.

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 pairs a specific verb ('Calculates') with a specific resource (valuation metrics for CUSIPs) and enumerates the exact outputs produced: fair market value, YTM, modified duration, convexity, and jump-diffusion volatility intervals. An agent immediately knows this tool computes analytics rather than fetching a stored price. It is clearly distinct from the unrelated siblings (clearing fees, OFAC screening, key provisioning).

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 'secondary and distressed corporate debt CUSIPs' hints at the applicable instrument scope, but there is no explicit when-to-use guidance, no statement of prerequisites, and no reference to any alternative tool or method. The agent must infer usage context entirely.

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. 'Live FINRA TRACE' hints at real-time data, but nothing states whether a subscription/API key is required, whether the call is read-only, how the paymentToken fits, or what the returned tape looks like. A 5-parameter tool with a Stripe payment token parameter and zero behavioral explanation is a significant 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?

A single sentence that is front-loaded, but it is a run-on stack of three loosely related buzzword capabilities rather than a ranked statement of the tool's primary function. Not wasteful in length, but unfocused.

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 5-optional-parameter tool with no output schema and no annotations, the description omits return format, auth requirements, and the paymentToken/API-key flow entirely. It does not give the agent enough to call the tool correctly or confidently.

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 cusip, ticker, apiKey, paymentToken, and benchmark_ust_yield with defaults. The description adds no parameter-level meaning (e.g., why a payment token matters here), so it neither compensates nor detracts from the schema's 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 names a domain (debt surveillance/TRACE) and three capabilities, but it is a noun-phrase list rather than a verb+resource statement of what the tool returns. The juxtaposition of a market data tape, spread analysis, and 'Zero-Cost European Collar strike structuring' leaves the agent unsure which capability actually fires and how it differs from sibling get_cusip_valuation.

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 when-to-use guidance, no prerequisites, and no mention of the obviously adjacent sibling get_cusip_valuation. The agent must guess whether this supersedes or complements CUSIP valuation based purely on the name.

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, yet it does not say whether this is a read (returns tier info) or a write (creates/bills for a key), whether calling it incurs cost, what happens if a key already exists, or what auth is required. It hints at a billing flow via the checkout/email context but never states reversibility, idempotency, or side effects for what appears to be a mutation.

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 with no filler, and the key-format hint (nexus_live_...) is useful. It is somewhat run-on and packs the 'returns tiers' and 'provisions key' ideas together without clear ordering.

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 no annotations, no output schema, and only partial schema coverage, the description is the sole source of behavioral context and leaves major questions open: does it return a key or checkout instructions, is it a mutation, and what does billing entail. For a provisioning tool this is a significant shortfall.

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 67%, so the schema already documents email and client_name, and the tier enum values are largely self-explanatory. The description only echoes the tier concept ('monetization tiers') without explaining the tiers themselves or the role of client_name, so it adds little beyond the structured fields.

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 operation and resource (provision a live developer API key, nexus_live_ prefix) plus the scope (high-frequency algorithmic querying), which clearly distinguishes it from the finance-oriented siblings. It is slightly muddled because the sentence leads with 'Returns available agent monetization tiers and checkout instructions' rather than stating plainly whether it creates a key or just returns instructions, but the intent is recoverable.

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 when-to-use guidance, no mention of prerequisites, and no reference to any sibling tool as an alternative. The 'high-frequency algorithmic querying' phrase hints at the audience but does not tell the agent when this tool is the right choice versus the other tools.

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

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

With no annotations, the description carries full behavioral burden. It usefully discloses latency ('sub-second'), data source freshness ('latest OFAC SDN and global sanctions registries'), and an output artifact ('immutable statutory proof hash'). However, it omits auth/payment requirements hinted at by apiKey and paymentToken, and says nothing about match-result behavior.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences, front-loaded with the core action and data source, with zero filler. Every clause carries information about capability or output.

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 six-parameter screening tool with no output schema and no annotations, the description covers the core action and a partial output hint but leaves the auth/payment flow, fuzzy matching behavior, and result shape unexplained.

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 all six parameters including fuzzy_threshold ranges and country codes. The description adds no parameter-level meaning beyond that, so the baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb+resource: screening against OFAC SDN and global sanctions registries. This is clearly distinguishable from all siblings (fee calculation, CUSIP valuation, debt radar, key provisioning) which operate on entirely different domains.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description says what the tool does but never states when to use it, prerequisites, or how it relates to alternatives. There is no guidance about what to do on a match versus a clear result, or when the optional payment/auth parameters are needed.

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