GovOmniAI Machine Services

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

Annotations already declare readOnlyHint, idempotentHint and destructiveHint=false, lowering the bar. The description adds real value by stating the return contents (risk tier, missing evidence, prioritized controls, human-gate verdict) and explicitly that no order is created and no payment requested, reinforcing the non-mutating profile.

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

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

Three tight sentences, front-loaded with 'Free:' and the core action. No filler, though the free/no-payment point is stated twice (prefix and final clause), slightly redundant.

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?

There is no output schema, so the description usefully summarizes return values, and it covers the no-side-effect guarantee. However, given a complex nested input with low description coverage, it leaves the caller without guidance on how to populate transaction and evidence fields.

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 only 33% and the description says nothing about the three parameters or the nested transaction/evidence structure. The nested enums (autonomy, reversibility, data_sensitivity) carry meaning that the prose never explains or compensates for.

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 ('assess') plus resource ('a proposed autonomous transaction') and names the timing ('before money moves'). It clearly distinguishes itself from the sibling *_order_* tools by declaring itself free and side-effect-free ('Creates no order and requests no payment').

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

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

Gives clear context for use ('assess... before money moves'), implying it is the pre-flight check to run before invoking the paid order siblings. It does not explicitly name which sibling to use after or when this tool is insufficient, so it falls short of full when/when-not 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?

Adds real behavior beyond the annotations: the order is unpaid, the result is sealed before payment, the tool does not charge, approve spending, or touch buyer credentials, and the buyer independently decides whether to pay via the Stripe MPP/SPT flow. Annotations only supply the generic non-readonly/non-destructive/non-idempotent profile, so this context is genuinely additive. Minor tension: 'read the live catalog' for dynamic price/availability sits awkwardly with openWorldHint=false, though this is not a direct 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?

Four sentences, front-loaded with the action and price reality-check, then the submission flow, then the negative scope guarantees. Slightly promotional in tone ('genuine transaction', 'GovOmniAI') but no sentence is wasted.

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

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

For a mutation-style order-creation tool with no output schema and no meaningful annotations, the description covers the payment/authorization boundary well but omits what the created order returns (order id? sealed artifact?), what the buyer does next, and any semantics for the enum-heavy transaction payload. Adequate but with 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% across 4 parameters, including a nested transaction object with six required risk fields (amount_cents, currency, reversibility, data_sensitivity, operational_impact, autonomy) and optional external_side_effects. The description names only 'transaction' and 'declared evidence' generically and never explains the meaning or expected values of those risk dimensions, nor buyer_email/buyer_reference, so it fails to compensate for the coverage gap.

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

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

States a specific verb and resource ('Create an unpaid ... Agent Action Assurance Check order') and immediately differentiates it from the near-identical sibling create_agent_action_assurance_order_1usd by naming the live-catalog price check and the 'introductory 50 US cents' figure. An agent can pick between these without opening a schema.

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

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

Gives clear operational context: read the live catalog for seller/price/availability/terms, then submit the transaction and evidence, with the seal happening before payment. It does not, however, route the agent away from the free sibling assess_autonomous_transaction_risk_free or qualify_federal_opportunity_free when a paid assurance order is unnecessary, so the when-not condition is left implicit.

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?

Beyond the annotations (readOnlyHint=false, idempotentHint=false, destructiveHint=false), the description adds substantial behavioral context: the order is unpaid, the result is sealed before payment, and it returns the payment endpoint, order token, terms and status URL rather than charging the buyer. It does not clarify repeat-call/idempotency behavior or what the MPP payment flow requires, but the disclosure of scope and non-charging semantics is genuinely useful and consistent with the annotations.

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 name/price caveat is front-loaded where it matters most, and the description stays focused with no filler. The opening 'Temporary 50-cent paid pre-action check' is slightly at odds in tone with the later 'does not charge the buyer,' which costs a little clarity, but the structure is efficient overall.

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 nested, non-idempotent order-creation tool with no output schema, the description covers the crucial facts an agent needs: that the order is unpaid, what it produces (tier, evidence sufficiency, risk factors, human-gate flag), and what endpoints are returned. The main residual gap is the lack of parameter-level guidance for the nested transaction object and the optional evidence/buyer fields.

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

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

Schema description coverage is 0% across four parameters, including a required nested 'transaction' object with seven defined fields. The usage sentence loosely maps to some transaction semantics (money -> amount_cents, data -> data_sensitivity, authority -> autonomy, side effects -> external_side_effects), but 'evidence', 'buyer_email' and 'buyer_reference' are left entirely unexplained, so the description only partially compensates for the coverage gap.

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+resource: it creates an unpaid 'GovOmniAI Agent Action Assurance Check order,' and immediately preempts confusion by flagging that the '_1usd' name is legacy and the price is actually 50 cents. It is clearly distinguishable from the order-creating siblings (offer verification, federal qualification) by its subject matter, though it never contrasts itself with the closely-related free risk-assessment sibling.

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 gives concrete triggering conditions ('Before an autonomous agent spends money, shares non-public data, delegates authority, or creates external side effects'), which is clear usage context. It does not name a when-not condition or point to the free alternative (assess_autonomous_transaction_risk_free), which would have been valuable routing information, so it stops short of the top score.

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?

Adds real context beyond the annotations: the order is unpaid, the result is sealed at creation, and the response carries the MPP payment endpoint, order token, terms, and status URL. That clarifies the two-step create-then-pay flow that annotations alone (readOnlyHint=false, destructiveHint=false) do not convey. It does not address the non-idempotent behavior the annotations flag, so repeat calls creating new orders is left implicit.

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, front-loaded with the action and scope, then the key behavioral fact (no charge), then the return contents. Every sentence carries information, though the flow sentence is slightly dense and could be split for 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?

With no output schema, the description correctly compensates by enumerating what the call returns (payment endpoint, token, terms, status URL). The main remaining gap is the undocumented nested 'offer' input, but the create-then-decide flow an agent needs to invoke this correctly is otherwise 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% across three parameters, including a required nested 'offer' object with additionalProperties=true and no documented shape. The description explains what the order does but never says what the 'offer' payload must contain or what buyer_email/buyer_reference are for, so it fails to compensate for the coverage gap.

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

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

Names a specific verb and resource (create an unpaid $3 verification order) and scopes it precisely: verifying the structure and integrity of an agent/service offer. The distinct wording ('verify the structure and integrity of an offer') separates it from the assurance-order and qualification-order siblings without needing to open their schemas.

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

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

Gives clear situational context ('before relying on it') and a decisive boundary ('This tool does not charge the buyer'), which tells the agent this is a pre-commitment check, not a purchase. It does not explicitly name which sibling to use instead when the goal is assurance or federal qualification, so it stops short of full 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?

Annotations flag it as a non-read-only, non-idempotent write, and the description usefully clarifies that no charge occurs ('does not charge the buyer') and that the qualification is 'sealed before payment'. It also discloses the concrete return artifacts (payment endpoint, order token, terms, status URL), adding context annotations cannot convey.

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, front-loaded with the core action and consequence, with each sentence adding a distinct fact (sealing, no charge, return payload). No redundant filler, though it is slightly dense.

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?

Annotations cover the safety profile and there is no output schema, so the description correctly describes what is returned. However, given 0% parameter coverage and nested required objects, an agent still lacks guidance on how to populate the inputs, leaving a real completeness 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% across 5 parameters, including nested objects (opportunity, company_profile) and an enum (pursuit_role), and the description explains none of them. With the schema carrying no parameter documentation, the description needed to compensate and does not.

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?

Strong verb+resource: 'create ... order for a machine-readable federal opportunity qualification,' and the '$5 unpaid' framing distinguishes it from the sibling 'qualify_federal_opportunity_free'. It stops short of explicitly naming that free sibling as the alternative, but an agent can still tell the two apart from the text.

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 line 'so an authorized buyer agent can decide whether to pay' implies the intended caller and context, but there is no explicit when-to-use-vs-'qualify_federal_opportunity_free' guidance or stated preconditions. Usage is inferable, not spelled out.

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?

Annotations already declare readOnlyHint, idempotentHint and destructiveHint=false, so the safety profile is covered. The description still adds value beyond them: it explicitly states 'this discovery call itself creates no order or payment' and flags that catalog prices/terms are live and must be checked, which is meaningful behavioral context for an e-commerce-style 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?

Purpose is front-loaded in the first clause and the second sentence carries the actionable next-step guidance. The parenthetical about the price-neutral tool name is slightly clunky but short, and no sentence is pure 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?

With no output schema and no parameters, the description carries the burden of saying what comes back, and it does enumerate the return content (services, prices, sellers, schemas, payment routes) plus the no-side-effect guarantee. Complete enough to call correctly, though it could clarify the free-vs-paid boundary relative to sibling free 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 tool takes zero parameters, so there is nothing for the description to disambiguate; per the baseline, a 0-param tool scores 4. The description adds no parameter detail because none exists to add.

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 ('Discover') and resource ('GovOmniAI and Cropper machine services'), and enumerates the discoverable content (prices, legal sellers, schemas, payment routes). It contrasts implicitly with the paid order-creation siblings by framing itself as a discovery/listing call, though it never names those siblings directly for 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?

It routes the agent forward to a specific next step (create_agent_action_assurance_order) and warns to verify live pricing, which is useful. However, it gives no explicit condition for choosing this discovery call over the other free siblings (assess_autonomous_transaction_risk_free, qualify_federal_opportunity_free), so when-to-use-this 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?

Annotations already declare readOnly, idempotent, non-destructive, and closed-world. The description adds value beyond them by enumerating outputs (fit, eligibility mismatches, capability overlap, teaming indicators, evidence gaps, next actions) and confirming no order or payment is created, which is a billing behavior annotations don't cover. It does not state latency, rate limits, or data-retention 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?

Three tight sentences with zero padding. The free/no-payment positioning is front-loaded followed by the return contents, so an agent can act on the first clause.

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 summarizes the return payload, and annotations cover the safety profile. The remaining gap is the nested, undocumented input schema, which the description only partially compensates for.

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 carries the full burden, yet it only gestures at the two required objects ('public... opportunity', 'company facts'). The pursuit_role enum (prime/subcontractor/either) and buyer_reference parameter get no mention, and no nested field semantics (set_aside, clearances, vehicles) are 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?

States a specific verb ('determine whether... appears worth deeper pursuit') and resource ('public U.S. federal opportunity'), scoping the input to buyer-provided non-sensitive company facts. The 'Free:' prefix and 'Creates no order or payment' distinguish it from the paid sibling create_federal_opportunity_qualification_order_5usd.

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?

'Free' plus 'Creates no order or payment' clearly frames this as the no-cost preview step, implying it precedes a paid order. It stops short of explicitly naming the paid alternative or stating the condition to escalate, so the when-to-use is strong but the routing is not fully spelled out.

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