AgentWork Outcomes
Server Details
Buy a finished outcome through services, agents, marketplaces, humans, tools, or swarms.
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP · MCP 2025-06-18
- URL
- Repository
- mitchellOpZero/agentwork-api
- GitHub Stars
- 0
- Server Listing
- AgentWork MCP Server
TDQS
Scored across 4 tools
Each tool has a distinct verb (confirm, get, request, resume) targeting different stages of the outcome lifecycle, with no overlapping purposes.
All tools follow the consistent verb_noun pattern with '_outcome' suffix, making the naming predictable and clear.
Four tools cover the core read, request, confirm, and resume operations without excess, fitting well within the typical 3-15 range.
The set covers the primary workflow stages but lacks explicit update or cancel operations; however, the core lifecycle is reasonably complete.
Available Tools
4 toolsconfirm_outcomeConfirm an outcome quoteAInspect
Explicitly confirm a previously returned quote and begin configured funding. This may cause a financial action when funding is enabled.
| Name | Required | Description | Default |
|---|---|---|---|
| quote_id | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of disclosing side effects. It explicitly warns 'This may cause a financial action when funding is enabled', which is a material behavioral disclosure beyond what the title implies.
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 action is front-loaded and the financial warning follows immediately. Every word contributes useful meaning.
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 single-parameter confirmation tool, the description covers the core action, the precondition, and the key risk. It does not detail error behavior or explicitly route among siblings, but those are minor gaps relative to the tool's simplicity.
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 no description for quote_id and schema coverage is 0%. The description partially compensates by referring to a 'previously returned quote', implying that quote_id comes from an earlier response, but it never explicitly ties the parameter to that origin or explains its format.
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: 'confirm a previously returned quote'. It also clarifies the consequential purpose, 'begin configured funding', which distinguishes it from siblings like get_outcome, request_outcome, and resume_outcome.
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 'previously returned quote' establishes the expected precondition: this tool follows a quote-generation step. It clearly implies the right moment to call it, though it does not explicitly name alternatives 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.
get_outcomeGet an outcomeBInspect
Read the current payment, supplier, artifact, verification, and remediation state for an outcome.
| Name | Required | Description | Default |
|---|---|---|---|
| outcome_id | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden. 'Read' and 'current state' convey a non-mutating retrieval, and the scope is explicit. However, it omits error behavior, whether an outcome must already exist, and any access or prerequisite details.
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 sentence beginning with the operative verb 'Read'. It lists the relevant state dimensions without 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 one-parameter read tool, the description names the operation and the state dimensions returned. Still, with no annotations and no output schema, it leaves ambiguity about response shape, not-found behavior, and whether any preconditions apply.
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, but it only refers to 'an outcome' without explaining outcome_id format, constraints, or usage. It adds little meaning beyond the schema's property name and 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 clearly states a read operation on an outcome's current state and enumerates the exact scope: payment, supplier, artifact, verification, and remediation. This effectively distinguishes it from the action-oriented siblings confirm_outcome, request_outcome, and resume_outcome.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus the sibling tools. The sibling names imply they perform actions, but the description never states whether get_outcome should be used first, for preconditions, or after modifications.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
request_outcomeRequest an outcomeAInspect
Find a reliable procurement plan for an outcome and return one retail quote for confirmation. This does not spend, post, purchase, or invoke anything.
| Name | Required | Description | Default |
|---|---|---|---|
| context | No | Optional non-secret context needed to plan the outcome. | |
| outcome | No | The complete outcome the caller wants. | |
| deadline | No | Optional delivery deadline. | |
| done_when | No | Optional observable completion criteria. | |
| retry_gap_id | No | Retry a previously recorded routing or scoping gap with fresh supply checks. | |
| authority_scopes | No | Explicit non-financial authority granted for this outcome. Quote confirmation grants spend only. | |
| max_spend_micros | No | Optional maximum retail spend in USDC micros. Zero permits only free routes. | |
| repeat_of_outcome_id | No | Reuse a verified route where compatible. Supply a fresh outcome, done_when, inputs, and authority; previous values are never inherited. |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description explicitly states that the tool does not spend, post, purchase, or invoke anything. This is a strong disclosure of non-executing behavior, making the side effects clear even without 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 description is concise, consisting of two clear sentences that succinctly convey purpose and side effects. It is well-structured and free of unnecessary detail.
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 provides sufficient context about the tool's purpose and non-executing nature, but lacks details about the expected output format (the quote structure) or how to interpret the returned quote. Given the rich schema, this is a minor 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?
The schema provides 100% coverage for all parameters, so the baseline is 3. The tool description adds no additional meaning beyond the schema, such as relationships between parameters or usage details for specific 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 clearly states the tool's function: to find a reliable procurement plan and return a retail quote for confirmation. This distinguishes it from sibling tools like confirm_outcome, get_outcome, and resume_outcome, which handle confirmation, retrieval, and resumption respectively.
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 is the initial step for requesting an outcome and obtaining a quote before confirmation. However, it does not explicitly state when to prefer this over confirm_outcome or resume_outcome, leaving some inference to the agent.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
resume_outcomeResume an outcomeBInspect
Idempotently poll or reconcile pending supplier and financial operations for an outcome.
| Name | Required | Description | Default |
|---|---|---|---|
| outcome_id | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden, and it does disclose an important behavioral trait: idempotency, which tells agents that repeated calls are safe. However, it does not clarify whether reconciliation has side effects, what the response looks like, or what prerequisites or permissions are needed.
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 sentence that wastes no words. It places the key behavioral term 'Idempotently' first and conveys the core operation compactly.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with one simple parameter and no output schema, the description gives a reasonable starting point by stating the operation and the domain. It is incomplete, though, because it leaves usage timing, side effects, and return behavior unspecified, and there are no annotations to fill those 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 for the undocumented `outcome_id` parameter. It only references 'an outcome' generically and never explicitly explains that `outcome_id` is the identifier of the outcome being resumed, nor its format or required 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 names a specific action ('Idempotently poll or reconcile') and a resource ('pending supplier and financial operations for an outcome'), which distinguishes it from the sibling tools that request, get, or confirm outcomes. However, the phrase 'poll or reconcile' is slightly ambiguous about whether these are alternative modes or intertwined steps.
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 word 'pending' implies this tool is for handling outcomes that have unfinished supplier or financial operations, giving some context for when to use it. It does not explicitly say when not to use it or name any alternative, so usage guidance is only implied rather than stated.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
1 tool update
- Changed
request_outcome4 fields changed- changed
Input schema / oneOfPrevious value: -[ - { - "required": [ - "outcome" - ] - }, - { - "required": [ - "retry_gap_id" - ] - }, - { - "required": [ - "repeat_of_outcome_id" - ] - } -]New value: +[ + { + "not": { + "anyOf": [ + { + "required": [ + "retry_gap_id" + ] + }, + { + "required": [ + "repeat_of_outcome_id" + ] + } + ] + }, + "required": [ + "outcome" + ] + }, + { + "not": { + "anyOf": [ + { + "required": [ + "outcome" + ] + }, + { + "required": [ + "repeat_of_outcome_id" + ] + } + ] + }, + "required": [ + "retry_gap_id" + ] + }, + { + "not": { + "required": [ + "retry_gap_id" + ] + }, + "required": [ + "repeat_of_outcome_id" + ] + } +] - changed
Input schema / properties / max_spend_micros / descriptionPrevious value: -"Optional maximum retail spend in USDC micros."New value: +"Optional maximum retail spend in USDC micros. Zero permits only free routes." - changed
Input schema / properties / max_spend_micros / minimumPrevious value: -1New value: +0 - changed
Input schema / properties / repeat_of_outcome_id / descriptionPrevious value: -"Repeat a completed outcome through fresh supply checks and pricing."New value: +"Reuse a verified route where compatible. Supply a fresh outcome, done_when, inputs, and authority; previous values are never inherited."
1 tool update
- Changed
request_outcome1 field changed- added
Input schema / properties / authority_scopesAdded value: +{ + "description": "Explicit non-financial authority granted for this outcome. Quote confirmation grants spend only.", + "items": { + "enum": [ + "read_public_data", + "contact_external_party", + "represent_requester", + "create_account", + "create_or_use_wallet", + "publish", + "use_private_data" + ], + "type": "string" + }, + "type": "array", + "uniqueItems": true +}
4 tool updates
- First observed
confirm_outcome - First observed
get_outcome - First observed
request_outcome - First observed
resume_outcome
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