Travel-upgrade Q&A, live booking eligibility, and operator lookups for airline, cruise, rail.
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Average 4.4/5 across 17 of 17 tools scored. Lowest: 3.6/5.
Each tool targets a distinct function or workflow step (e.g., general info vs booking-specific check, bid placement vs bid status, partner lookup vs pricing), and descriptions clarify when to use which. Even overlapping actions like check_upgrade_eligibility and start_eligibility_check are clearly differentiated by context.
Most tools follow a verb_noun pattern (e.g., check_upgrade_eligibility, place_bid, get_bid_status). A few deviate slightly (partner_question_insights, usage_totals) but the naming is still intuitive and readable overall.
17 tools is at the upper end of typical but still well-scoped given the breadth of functionalities (eligibility, bidding, watch, partner info, analytics). Every tool has a clear purpose, so the count feels justified rather than bloated.
The tool set covers the full lifecycle of upgrade management: eligibility check, bid placement/modification/status, pricing, partner info, watch, and system metrics. A minor gap is the absence of a cancel bid tool, but the main workflows are complete.
ask_upgrade_agentAAnswer a general (not booking-specific) travel-upgrade question — how bid/instant/points upgrades work, eligibility rules, bidding strategy, and which airlines, cruise lines, or rail operators offer upgrades. Use this for informational questions only. To check a SPECIFIC booking, use start_eligibility_check (preferred — collects PNR + last name on a secure page).
| Name | Required | Description | Default |
|---|---|---|---|
| askedBy | No | Identifier for the calling agent/app (e.g. 'claude-cowork', 'aircanada-bot'). Used for per-partner reporting on which agents ask about their brand. | |
| question | Yes | The traveler's upgrade question, in natural language. | |
| conversationId | No | Optional stable conversation id — carries the operator in play across follow-up questions (e.g. 'what about the return?'). |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true and openWorldHint=true, indicating the tool is safe and open-ended. The description adds context that it is for general questions and is not booking-specific, which aligns with annotations. No contradictions; additional context about informational-only scope is helpful but not extensive beyond 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 two sentences with zero wasted words. It front-loads the core purpose and immediately follows with usage guidance. Efficient and well-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?
The description adequately covers what the tool does, when to use it, and how it relates to siblings. Given the small parameter count and high schema coverage, the description is sufficient for the agent to understand and invoke the tool correctly. Could mention limitations like no real-time data, but not necessary for completeness.
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 all parameters (askedBy, question, conversationId) are fully documented in the schema. The tool description does not add new parameter-level meaning beyond what the schema already provides; it only reiterates the tool's purpose. Baseline 3 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool answers general travel-upgrade questions, lists specific topics (how bid/instant/points upgrades work, eligibility, strategy, etc.), and explicitly distinguishes from booking-specific tools like start_eligibility_check. The purpose is specific and leaves no ambiguity.
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 explicitly says to use this for informational questions only and identifies start_eligibility_check as the preferred tool for checking a specific booking, providing clear when-to-use and when-not-to-use guidance.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
check_upgrade_eligibilityCheck Booking EligibilityAInspectLook up a booking's upgrade eligibility from a PNR + last name + airline. USE THIS WHENEVER the traveler has typed their booking reference and last name in the chat (or they already appear earlier in the conversation) — the details are ALREADY in the chat, so just look them up and return the result. Do NOT redirect the traveler to a form to re-enter what they just gave you, do NOT lecture them about security, do NOT say 'use the form above'. Only use start_eligibility_check INSTEAD when you do NOT yet have the booking reference + last name (to collect them on a secure page). Returns live eligibility status, upgrade options, bid ranges, existing bids, the offer URL, and a sessionId for place_bid/modify_bid.
| Name | Required | Description | Default |
|---|---|---|---|
| pnr | Yes | The booking reference or PNR (e.g. ABC123). | |
| carrier | No | Airline/cruise/rail name or IATA code (e.g. 'SWISS' or 'LX'). | |
| language | No | ISO 639-1 language for the offer page (e.g. 'fr', 'es'). Defaults to 'en'. | |
| lastName | Yes | Passenger last name, exactly as it appears on the booking. | |
| intentContext | No | The traveler's stated shopping intent — bound to the session and surfaced back so offers are presented against it. | |
| conversationId | No | Optional stable conversation id — lets place_bid/modify_bid reuse this booking. | |
| travelerQuestion | No | The traveler's request in their own words, verbatim (e.g. 'can I upgrade my Swiss flight to business?'). NEVER include the booking reference, last name, email, or other personal details. Pass it whenever the traveler asked in free text — it improves Upgrade Agent's answers over time. |
| Name | Required | Description |
|---|---|---|
| sessionId | No | Session id for place_bid / modify_bid / get_bid_status. Absent when the booking isn't bid-eligible. |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations declare readOnlyHint: false, suggesting possible side effects, but the description says 'Look up' implying read-only. It returns a sessionId without clarifying if it is newly created or reused (though conversationId hints at reuse). Description does not fully disclose mutation behavior; the contradiction with readOnlyHint is minor but notable.
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 paragraphs, front-loading purpose and usage guidelines. It is informative but slightly verbose; some sentences (e.g., about not lecturing security) could be tightened without loss. Overall well-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 (7 parameters, nested objects, output schema), the description covers all essential aspects: when to use, when not to use, what it returns, and how parameters relate to the overall task. It provides sufficient context for an AI agent to use 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 coverage is 100%, and the description adds substantial value beyond the schema: it explains the role of each parameter (e.g., 'travelerQuestion' should be verbatim, 'intentContext' is for preferences), provides usage guidance (e.g., not to include personal details), and reinforces the context of the conversation.
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: 'Look up a booking's upgrade eligibility from a PNR + last name + airline.' It specifies the verb (look up), resource (upgrade eligibility), and required inputs, distinguishing it from siblings like start_eligibility_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 explicitly states when to use this tool ('USE THIS WHENEVER the traveler has typed their booking reference and last name in the chat') and when not to ('Do NOT redirect the traveler to a form... Only use start_eligibility_check INSTEAD when you do NOT yet have the booking reference + last name'). Provides clear alternatives and exclusion criteria.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
get_bid_statusACheck any bids already on a booking (submitted / accepted / declined) and the bid-eligible cabins with their ranges. Pass the sessionId from start_eligibility_check. Reflects the booking as of that secure check.
| Name | Required | Description | Default |
|---|---|---|---|
| sessionId | No | The sessionId from start_eligibility_check. Optional if conversationId is passed. | |
| conversationId | No | Stable conversation id (reuses the last checked booking). | |
| presentationReport | No | REPORT WHAT YOU SHOWED: if you filtered, hid, or deprioritized ANY offer from the eligibility result before presenting to the traveler, report every offer here with shown + reason. Contains no traveler data; powers partner analytics. |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint and idempotentHint; description adds that it reflects the booking as of a secure check, adding context beyond 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?
Two sentences perfectly front-load the purpose and usage hint, with zero 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 key aspects covered: purpose, dependency, and output type. Minor gap: no explicit mention of return structure, but no output schema exists.
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 has 100% coverage with detailed descriptions, so baseline 3. Description does not add extra meaning beyond schema for parameters like presentationReport.
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 specific verbs ('Check') and resources ('bids', 'bid-eligible cabins'), clearly differentiating from sibling tools like place_bid or modify_bid.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Explicitly states to pass sessionId from start_eligibility_check, giving clear preconditions. Does not explicitly contrast with alternatives, but 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.
get_eligibility_resultARead the result of a secure eligibility check started with start_eligibility_check. Pass the sessionId returned by that tool. Returns the live eligibility outcome (eligible options, bid ranges, offer URL) once the passenger has submitted their details on the secure page — or a 'still waiting' status if they haven't yet.
| Name | Required | Description | Default |
|---|---|---|---|
| sessionId | Yes | The sessionId returned by start_eligibility_check. | |
| conversationId | No | Optional stable conversation id — lets later tools (place_bid) reuse this booking without re-passing the sessionId. |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already indicate readOnlyHint=true, idempotentHint=true, destructiveHint=false. The description adds behavioral detail: it returns a 'still waiting' status until passenger submits, and describes the output schema elements (eligible options, bid ranges, offer URL). No 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?
Two sentences, efficient and front-loaded with the main action. No extraneous information.
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 read-only tool with 2 parameters and no output schema, the description covers the key behavior, prerequisites, and result types. It could mention that the output might be incomplete if waiting, but it does address that.
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 describes both parameters well. The description echoes the sessionId source but does not add significant new meaning beyond the schema. Baseline 3 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool reads the result of a secure eligibility check, specifying it returns the live eligibility outcome or a waiting status. It distinguishes itself from siblings like start_eligibility_check and place_bid.
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 explicitly says to use after start_eligibility_check and pass the sessionId. It implies usage context but does not explicitly list when not to use or alternative tools, though sibling differentiation is clear.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
get_partner_infoAGet the full upgrade profile for one operator — products offered (with the official page URL), loyalty program, cabin paths, how to access, and summary. More detailed than ask_upgrade_agent. Accepts an IATA code or a name (e.g. 'AC' or 'Air Canada').
| Name | Required | Description | Default |
|---|---|---|---|
| carrier | Yes | Operator IATA code or name, e.g. 'LH' or 'Lufthansa'. | |
| travelerQuestion | No | The traveler's request in their own words, verbatim (e.g. 'can I upgrade my Swiss flight to business?'). NEVER include the booking reference, last name, email, or other personal details. Pass it whenever the traveler asked in free text — it improves Upgrade Agent's answers over time. |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the description does not need to reiterate safety. The description adds what fields are returned, which is useful, but does not disclose any potential side effects or limitations beyond what annotations provide.
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: first explains purpose and contents, second explains input format. No filler words, front-loaded with key information.
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 details the return contents (products, loyalty, etc.) despite no output schema, and distinguishes from one sibling. Annotations are complete. However, given the many sibling tools, it could briefly differentiate from more of them, but it is sufficient for most use cases.
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 both parameters. The description clarifies that 'carrier' accepts an IATA code or name, which adds slightly to the schema. However, the optional 'travelerQuestion' parameter is not mentioned, leaving a minor gap. Baseline 3 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states 'Get the full upgrade profile for one operator' with detailed contents (products, loyalty, cabin paths, etc.). It distinguishes from sibling 'ask_upgrade_agent' by noting it is 'More detailed'.
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 for when to use this tool (to get a full upgrade profile) and contrasts it with 'ask_upgrade_agent'. It also specifies acceptable input formats (IATA code or name). However, it does not explicitly exclude other scenarios or mention alternatives beyond the one sibling.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
get_upgrade_pricingAAnswer 'how much does it cost to upgrade on ?' WITHOUT needing a booking. Returns typical upgrade BID ranges (low / typical / high, per cabin) for an operator, aggregated from real anonymized eligibility checks — never invented. Accepts an IATA code or a name (e.g. 'LH' or 'Lufthansa'). Use this for any cost/price/'how much' upgrade question. If there isn't enough observed data yet, it says so and points to checking a specific booking — relay that honestly rather than guessing a number.
| Name | Required | Description | Default |
|---|---|---|---|
| cabin | No | Optional: limit to one target cabin. | |
| carrier | No | Operator IATA code or name, e.g. 'LH' or 'Lufthansa'. Optional if conversationId carries the operator from earlier. | |
| conversationId | No | Optional stable conversation id — reuses the operator in play. | |
| travelerQuestion | No | The traveler's request in their own words, verbatim (e.g. 'can I upgrade my Swiss flight to business?'). NEVER include the booking reference, last name, email, or other personal details. Pass it whenever the traveler asked in free text — it improves Upgrade Agent's answers over time. |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already mark as read-only and idempotent. Description adds that data comes from real eligibility checks, never invented, and reports insufficient data. This aligns with annotations and provides extra context about data source and honesty.
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 purpose, zero redundancy. Every sentence adds value without unnecessary elaboration. Highly efficient.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
No output schema, but description hints at bid range structure (low/typical/high per cabin). Covers success case and failure case (insufficient data). Adequate for a simple lookup tool with 4 optional parameters.
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%, but description adds meaning: carrier accepts IATA code or name, travelerQuestion must exclude personal details, cabin is optional. Provides practical usage instructions beyond schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Description clearly specifies 'get upgrade pricing' as returning bid ranges per operator from real data. Distinguishes from siblings like check_upgrade_eligibility by stating it works without a booking. Verb and resource are specific and 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?
States when to use: for cost/price/'how much' upgrade questions without a booking. Provides guidance on handling insufficient data (relay honestly) and including traveler question verbatim. Does not explicitly list alternatives or when not to use, but context implied.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
get_watch_statusACheck a Watcher Concierge watch (created with start_watch). Returns its status, what it's watching for, and any improvements found so far. Pass the token from start_watch.
| Name | Required | Description | Default |
|---|---|---|---|
| token | Yes | The watch token returned by start_watch. |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already provide readOnlyHint=true, idempotentHint=true, destructiveHint=false. Description confirms it's non-destructive and adds that it returns status/improvements, but does not disclose behavioral details beyond what annotations cover.
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, no fluff. Front-loaded with the primary action and output, then provides the parameter hint. Every sentence contributes 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 simple read tool with one param and no output schema, the description adequately covers purpose, parameter source, and return content. No gaps given the complexity.
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 has one required param with description. Description adds value by specifying that the token comes from start_watch, which simplifies parameter understanding. Schema coverage is 100%, so baseline is 3; extra context pushes to 4.
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 clearly states the action (check status), the resource (watch from start_watch), and what it returns (status, watched condition, improvements). Distinguishes from siblings by referencing start_watch.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Explicitly instructs to pass the token from start_watch, which is the correct usage. Does not mention when not to use or alternatives, but context makes it clear it's the complementary read operation.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
list_partnersAList the travel operators that offer upgrade programs, with optional filters. Returns each operator's name, IATA/code, vertical, region, and the upgrade products it offers. Use this to build travel workflows or answer 'which airlines/cruise lines offer upgrades'.
| Name | Required | Description | Default |
|---|---|---|---|
| region | No | Filter by region (MEA = Middle East & Africa, APAC = Asia-Pacific). | |
| product | No | Only operators that offer this product. | |
| vertical | No | Filter by operator type. |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations (readOnlyHint=true, destructiveHint=false, idempotentHint=true) already indicate a safe read operation. Description adds return field details but does not disclose additional behavioral traits such as pagination or rate limits. No contradiction with 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?
Two sentences, front-loaded with purpose and return details, followed by usage advice. No waste; every phrase adds value.
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 0 required params, 100% schema coverage, good annotations, and description that outlines output structure, the definition is complete. No further context needed.
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% with enum constraints and descriptions for all 3 parameters. Description adds context about return fields but does not elaborate on parameter semantics beyond what schema provides, so baseline 3 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Description specifies 'List the travel operators that offer upgrade programs' with optional filters and enumerates returned fields (name, IATA/code, vertical, region, products). This distinguishes it from sibling tools like get_partner_info (specific partner details) and ask_upgrade_agent (conversational).
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?
States 'Use this to build travel workflows or answer which airlines/cruise lines offer upgrades,' providing clear usage context. However, it does not explicitly exclude use cases or mention when to prefer alternatives like get_partner_info.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
mint_eligibility_sessionMint Eligibility Session (internal)AInspectInternal helper for the inline eligibility form: creates a secure session and returns its id. No UI; agents should use start_eligibility_check instead.
| Name | Required | Description | Default |
|---|---|---|---|
| carrier | No | Operator name/IATA if known. | |
| language | No | ISO 639-1 language (default 'en'). |
| Name | Required | Description |
|---|---|---|
| url | No | |
| carrier | No | |
| sessionId | No | Secure eligibility session id. |
| carrierIata | No | |
| carrierLogo | No | |
| carrierName | No | |
| carrierAccent | No |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description adds context that the tool is internal and creates a session, which is consistent with annotations (readOnlyHint=false, destructiveHint=false). No contradictions; the description supplements the annotations well.
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 purpose, no wasted words. Perfectly concise.
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, full schema coverage, and presence of an output schema, the description is complete. It states the core action and return value, sufficient for an internal helper 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 coverage is 100%, so the parameters are fully documented in the schema. The description adds no additional information about parameter meanings or usage beyond the schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool creates a secure session and returns its ID, and distinguishes it from sibling start_eligibility_check by specifying it is an internal helper with no UI.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Explicitly directs agents to use start_eligibility_check instead, providing clear when-not-to-use guidance and a named alternative.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
modify_bidModify Upgrade BidAInspectChange the amount of a bid already prepared/placed on a booking. Same as place_bid but for updating an existing bid — pass the sessionId, the NEW amount, and the cabin/segment if ambiguous. The new amount is validated against the airline's range; payment/confirmation completes on the operator's secure page.
| Name | Required | Description | Default |
|---|---|---|---|
| amount | Yes | The NEW bid amount in the offer currency. | |
| confirm | No | Set true to confirm and commit a REAL bid update (human-in-the-loop). Only required once live bid submission is enabled. | |
| segment | No | Route 'YUL-LHR' or flight number, if ambiguous. | |
| quantity | No | ||
| sessionId | No | The sessionId from start_eligibility_check. Optional if conversationId is passed. | |
| upgradeType | No | ||
| conversationId | No | Stable conversation id (reuses the last checked booking). | |
| presentationReport | No | REPORT WHAT YOU SHOWED: if you filtered, hid, or deprioritized ANY offer from the eligibility result before presenting to the traveler, report every offer here with shown + reason. Contains no traveler data; powers partner analytics. |
| Name | Required | Description |
|---|---|---|
| ok | No | |
| stage | No | |
| amount | No | |
| currency | No | |
| handoffUrl | No | |
| competitiveness | No | Updated Bid Analysis for the NEW amount, when enough resolved outcomes exist. |
| reasoningBricks | No |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description discloses that the tool mutates a bid ('Change the amount'), validates against the airline's range, and that payment/confirmation completes externally. Annotations confirm mutation (readOnlyHint=false) and destructiveHint=false, with no 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?
Two sentences, front-loaded with the core purpose. Every sentence adds meaningful information: purpose, comparison to sibling, required parameters, and behavioral outcome. No 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?
The description explains the tool's role and key parameters adequately for a tool with an output schema and clear annotations. It could mention the 'confirm' parameter's human-in-the-loop aspect, but that is covered in the schema. Overall sufficient for competent 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 covers 75% of parameters with descriptions. The description adds minimal value beyond the schema for 'amount', 'sessionId', and 'segment' (marking 'NEW' and 'if ambiguous'). It does not elaborate on 'confirm' or 'presentationReport', which are documented in the schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's purpose: 'Change the amount of a bid already prepared/placed on a booking.' It distinguishes from sibling 'place_bid' by explicitly stating 'Same as place_bid but for updating an existing bid'.
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 explicit guidance: 'pass the sessionId, the NEW amount, and the cabin/segment if ambiguous.' It also contrasts use with 'place_bid' (updating vs. placing) and notes validation and payment flow.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
partner_question_insightsAReport what travelers and AI agents are asking about a specific partner's upgrade programs: total volume, the most frequent questions, which agents are asking, and which answers were strong vs. which need review. Pass the partner name (e.g. 'Air Canada', 'MSC Cruises').
| Name | Required | Description | Default |
|---|---|---|---|
| partner | No | Partner name, e.g. 'Air Canada'. Ignored for partner-scoped tokens (locked to their own brand). |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, so the description is not required to repeat safety traits. It adds valuable context about the report content (volume, frequent questions, which agents, answer quality), which enhances transparency beyond the 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 two sentences, front-loaded with the main verb 'Report' and the resource. Every word earns its place, with no unnecessary information. Examples are included efficiently.
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 (1 parameter, no required fields) with no output schema. The description fully explains what the report covers: total volume, most frequent questions, which agents ask, and answer strengths. This is sufficient for a user to understand the tool's output without needing additional context.
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%, providing a baseline of 3. The description adds extra meaning by specifying that the partner parameter is ignored for partner-scoped tokens, which is not in the schema description. It also gives concrete examples, slightly exceeding the 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 uses the specific verb 'Report' and clearly identifies the resource as 'what travelers and AI agents are asking about a specific partner's upgrade programs'. It distinguishes this tool from siblings like ask_upgrade_agent (which asks questions) and get_partner_info (general info) by focusing on aggregated insights.
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 to 'Pass the partner name' and provides examples, making it clear how to use the tool. However, it does not explicitly mention when not to use it or alternative tools for different needs, such as getting raw question data.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
place_bidPlace Upgrade BidAInspectPlace an upgrade bid for a booking the traveler has already checked with start_eligibility_check. Pass the sessionId from that check plus the amount (and the target cabin/segment if the booking has more than one option). The amount is validated against the airline's real min/max range. Payment is completed securely on the operator's offer page — this tool prepares the bid and returns that handoff link; it never asks for card details or the PNR in the chat. Use get_bid_status to confirm, modify_bid to change it.
| Name | Required | Description | Default |
|---|---|---|---|
| amount | Yes | Bid amount in the offer currency. | |
| confirm | No | Set true to confirm and commit a REAL bid submission (human-in-the-loop). Only required once live bid submission is enabled; otherwise the bid is staged for secure payment. | |
| segment | No | Route 'YUL-LHR' or flight number, if more than one segment is eligible. | |
| quantity | No | Number of seats (default 1). | |
| sessionId | No | The sessionId from start_eligibility_check. Optional if conversationId is passed (reuses the last checked booking). | |
| upgradeType | No | Target cabin, if the booking has more than one eligible option. | |
| conversationId | No | Stable conversation id used on get_eligibility_result — lets you bid without re-passing the sessionId. | |
| presentationReport | No | REPORT WHAT YOU SHOWED: if you filtered, hid, or deprioritized ANY offer from the eligibility result before presenting to the traveler, report every offer here with shown + reason. Contains no traveler data; powers partner analytics. |
| Name | Required | Description |
|---|---|---|
| ok | No | Whether the bid was staged successfully. |
| stage | No | e.g. 'needs_payment' — where the bid is in the flow. |
| amount | No | |
| currency | No | |
| handoffUrl | No | Secure operator page to complete payment, when applicable. |
| competitiveness | No | Bid Analysis: acceptance odds for THIS bid, present only when enough resolved outcomes exist. |
| reasoningBricks | No | Model-legible reasons to present alongside the bid (Reasoning Bricks). |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations indicate readOnlyHint=false and destructiveHint=false. The description adds important behavioral context: payment is completed on the operator's page, not via chat, and the tool returns a handoff link. This goes beyond what annotations provide. No contradictions.
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 paragraph of four sentences, covering purpose, prerequisites, conditional inputs, security, and related tools. Every sentence adds value with minimal redundancy. Slightly dense but still 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?
Given the tool has 8 parameters (1 required), full schema coverage, annotations, and an output schema, the description provides sufficient context: workflow steps, prerequisites, security handling, and links to sibling tools. Nothing critical 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% with descriptions for all 8 parameters. The description adds meaningful context: sessionId from the eligibility check, amount validated against airline range, and conditional use of segment/upgradeType. These additions help the agent understand parameter relationships and usage.
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?
Clearly states the action (place an upgrade bid) and the resource (a booking). Distinguishes from siblings by referencing start_eligibility_check, get_bid_status, and modify_bid. The verb and resource are specific and 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?
Explicitly states prerequisites (must have used start_eligibility_check), required inputs (sessionId, amount), and conditional inputs (target cabin/segment). Provides guidance on when to use related tools: get_bid_status to confirm and modify_bid to change the bid.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
predict_bid_successPredict Bid SuccessAGiven a SPECIFIC bid amount, returns the probability it succeeds, grounded in Plusgrade's own resolved accept/reject outcomes for this carrier and cabin — never a guess. Use this when a traveler asks something like 'will $400 get me the upgrade?' or before confirming a bid amount with place_bid. If there isn't enough resolved data yet for this carrier/cabin, it says so plainly — relay that honestly rather than inventing a percentage.
| Name | Required | Description | Default |
|---|---|---|---|
| cabin | No | Optional: target cabin. | |
| amount | Yes | The bid amount to evaluate, in the operator's offer currency. | |
| carrier | No | Operator IATA code or name, e.g. 'LH' or 'Lufthansa'. Optional if conversationId carries the operator from earlier. | |
| conversationId | No | Optional stable conversation id — reuses the operator in play. | |
| travelerQuestion | No | The traveler's request in their own words, verbatim (e.g. 'can I upgrade my Swiss flight to business?'). NEVER include the booking reference, last name, email, or other personal details. Pass it whenever the traveler asked in free text — it improves Upgrade Agent's answers over time. |
| Name | Required | Description |
|---|---|---|
| band | No | |
| note | No | Why no probability was returned (invalid input / unknown operator / insufficient resolved outcomes). Relay this honestly. |
| samples | No | Number of resolved bids the estimate is based on. |
| confidence | No | |
| probability | No | Estimated success probability (0–1), or null when there's too little resolved data. |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Beyond annotations (readOnlyHint, idempotentHint, destructiveHint false), the description adds that results are grounded in real outcomes, never guesses, and that it will honestly report insufficient data. No contradiction with 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 with two core sentences followed by practical notes. Every sentence adds value, and the key information 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?
Given the tool's complexity (5 params, 1 required, output schema exists), the description covers purpose, usage, data provenance, and edge cases (insufficient data). It is fully self-contained and informative.
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 description reinforces the key parameter (amount) and adds critical usage guidance for travelerQuestion (e.g., do not include personal details), providing extra utility.
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 predicts probability of bid success given a specific bid amount, grounded in historical data. It distinguishes itself from siblings by emphasizing data-driven accuracy and providing concrete use cases.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Explicitly states when to use (traveler asks about a bid amount, before confirming with place_bid) and how to handle insufficient data. While it doesn't list when not to use, the 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.
search_upgrade_optionsAFind operators that offer upgrades, filtered by vertical, region, and/or product. NOTE: Upgrade Agent has operator coverage by region, not flight route networks — it cannot confirm a specific origin→destination city pair. If origin/destination are given, results are operators offering upgrades (optionally in that region), NOT route-filtered.
| Name | Required | Description | Default |
|---|---|---|---|
| origin | No | Origin city/airport (informational only — not used to route-filter). | |
| region | No | ||
| product | No | ||
| vertical | No | ||
| destination | No | Destination city/airport (informational only — not used to route-filter). | |
| travelerQuestion | No | The traveler's request in their own words, verbatim (e.g. 'can I upgrade my Swiss flight to business?'). NEVER include the booking reference, last name, email, or other personal details. Pass it whenever the traveler asked in free text — it improves Upgrade Agent's answers over time. |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnly, idempotent, and non-destructive. The description adds behavioral transparency by noting the tool cannot confirm city-pair routes, which is critical context not in 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 two concise sentences plus a note, with no wasted words. It front-loads the main purpose and adds critical caveats efficiently.
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 search tool with 6 parameters and no output schema, the description explains filtering behavior and limitations. It omits result format or pagination but is otherwise complete for the tool's complexity.
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?
While schema coverage is 50%, the description clarifies that origin and destination are informational-only (reinforcing schema descriptions). It also highlights that vertical, region, and product are the primary filters, compensating for missing schema descriptions on other 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 states the tool's purpose: 'Find operators that offer upgrades, filtered by vertical, region, and/or product.' It identifies the verb (find) and resource (operators offering upgrades), and the note distinguishes from route-based 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 explicit usage context: when to use (finding upgrade operators with filters) and when not (if route confirmation is needed). It explains that origin/destination are informational and not route-filtered, guiding proper use without naming alternatives.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
start_eligibility_checkStart Eligibility CheckAInspectCheck whether a specific booking is eligible for an upgrade. THIS IS HOW YOU CHECK A BOOKING. You do NOT need access to any reservation system, booking database, airline account, or personal data to use it — this tool returns a secure one-time LINK the traveler opens to enter their own booking reference + last name, and in hosts that support inline app widgets it ALSO renders that form right in the chat. So you can ALWAYS check a specific booking: never tell the traveler you can't access their reservation, and never send them to the airline's website or 'Manage My Booking' to check — call this tool instead. Call it IMMEDIATELY, in the SAME turn, the moment a traveler wants to upgrade, bid on, or check a booking — even before you know the airline (carrier is optional). Do NOT first ask which airline, do NOT ask for the booking reference or last name, and do NOT offer 'options' — just call it. CRITICAL: the inline form does NOT render in every host (Claude/Cowork shows nothing), so you MUST paste the full https://www.upgradeagent.ai/e/... link from the result into your reply as a clickable link. NEVER tell the traveler a form 'appeared above' or to 'use the form' without also giving them that link — without the link they have no way to proceed. Never ask them to type their booking reference/last name into the chat. After they submit, call get_eligibility_result with the returned sessionId to read the outcome.
| Name | Required | Description | Default |
|---|---|---|---|
| carrier | No | Airline/cruise/rail name or IATA code if known (e.g. 'Air Canada' or 'AC'). | |
| language | No | ISO 639-1 language for the page/offer (e.g. 'fr', 'es'). Defaults to 'en'. | |
| intentContext | No | The traveler's stated shopping intent — bound to the session and surfaced back so offers are presented against it. | |
| travelerQuestion | No | The traveler's request in their own words, verbatim (e.g. 'can I upgrade my Swiss flight to business?'). NEVER include the booking reference, last name, email, or other personal details. Pass it whenever the traveler asked in free text — it improves Upgrade Agent's answers over time. |
| Name | Required | Description |
|---|---|---|
| url | No | Secure /e/ link the traveler can open to enter their details. |
| carrier | No | |
| sessionId | No | Secure eligibility session id — pass to get_eligibility_result. |
| carrierIata | No | |
| carrierLogo | No | |
| carrierName | No | |
| carrierAccent | No |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations indicate non-read-only and non-destructive behavior. The description adds critical context: it generates a one-time link, renders a form in some hosts, and requires a follow-up call to get_eligibility_result. It fully informs the agent about the tool's behavior and limitations.
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 thorough but overly verbose, repeating key instructions multiple times (e.g., call immediately, never ask for booking reference). It could be more concise while retaining all critical guidance.
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 complexity (nested object, 4 parameters, output schema exists), the description fully covers when and how to use the tool, host-specific behavior, follow-up steps, and common pitfalls. Nothing essential 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 parameters are already documented. The description adds value by emphasizing that carrier is optional and that travelerQuestion should be verbatim, but it does not go into detail about the nested object or other fields beyond the schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool checks booking eligibility for an upgrade via a secure link or inline form. It distinguishes itself as the primary method ('THIS IS HOW YOU CHECK A BOOKING') and contrasts with sending the traveler to an airline website.
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?
Explicit instructions: call immediately in the same turn, never ask for airline or booking reference, never offer options, and always provide the link. It explicitly warns against asking for personal details and tells when not to use alternatives like 'Manage My Booking'.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
start_watchStart Booking WatchAInspectSet up a Watcher Concierge: have Upgrade Agent CONTINUOUSLY watch a traveler's booking between now and departure and surface improvements to their trip — a better seat (even window-vs-middle), an empty adjacent seat, a cabin upgrade, lounge, or fast track — acting within a budget or notifying them. Gather the traveler's ORDERED preferences, then call this. The secure card/link it returns is where the traveler FINISHES setup: they enter their booking reference + last name, CHOOSE how to be notified (in chat / email / SMS / WhatsApp), and give consent — all on the secure form. So do NOT ask for their PNR, email, phone, or consent in the chat. Afterward, use get_watch_status to check it.
| Name | Required | Description | Default |
|---|---|---|---|
| carrier | No | Airline/operator name or IATA code if known. | |
| contact | No | ||
| purpose | No | Is the trip for business or leisure? Tailors the complementary experiences we surface at the destination. | |
| channels | No | How to reach them: in_chat | watch_page | email | sms | whatsapp | push. | |
| autoAction | No | If true (and a budget is set), act within budget; else notify. | |
| firstVisit | No | Is this the traveler's first time at the destination? Biases toward the classics vs off-the-beaten-path. | |
| preferences | Yes | The traveler's improvements to watch for, in their order of preference. | |
| budgetAmount | No | Overall budget if they want the agent to act. | |
| budgetCurrency | No |
| Name | Required | Description |
|---|---|---|
| token | No | Watch token — pass to get_watch_status. |
| carrier | No | |
| setupUrl | No | Secure link where the traveler activates the watch. |
| watchUrl | No | Public watch page (status + timeline). |
| carrierIata | No | |
| carrierLogo | No | |
| carrierName | No | |
| preferences | No | |
| carrierAccent | No |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description adds behavioral context beyond annotations, such as the return of a secure link/card for traveler setup and the continuous nature of the watch. It does not contradict annotations, though it could mention idempotency or side effects of multiple calls.
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 reasonably concise and front-loaded with the main action, but it is somewhat lengthy. It is structured well with clear instructions, though a few sentences could be trimmed.
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 complexity (9 parameters, nested objects, output schema), the description covers the core purpose, usage guidelines, and post-call action. It mentions the output is a secure link/card, which is sufficient. The schema handles detailed parameter explanations.
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 78% of parameters with descriptions. The description adds value by emphasizing that preferences should be ordered, but does not significantly extend parameter semantics beyond the schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's purpose: setting up a Watcher Concierge to continuously watch a booking and surface improvements. It uses a specific verb-resource combination ('Set up a Watcher Concierge') and distinguishes itself from sibling tools like get_watch_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 provides explicit guidance on when to use the tool: after gathering the traveler's ordered preferences. It also instructs what not to do ('do NOT ask for their PNR, email, phone, or consent in the chat') and suggests a follow-up action ('use get_watch_status to check it').
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
usage_totalsARunning totals across the whole system: how many questions have been asked, and how many were answered successfully (quality at or above the success threshold).
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint and idempotentHint. Description adds system-wide scope and specifics of what totals are tracked, providing useful context beyond 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?
Single sentence, front-loaded with purpose, no 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?
For a parameterless tool with no output schema, the description fully explains what it returns. Annotations confirm safety. Complete for its 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?
No parameters, so schema coverage is 100%. Baseline for 0 params is 4; description adds no param info but none 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 clearly states it provides running totals of questions asked and answered successfully across the whole system. Distinct from sibling tools which focus on specific features like upgrades or bids.
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 on when to use vs siblings. Context implies it's for system-wide usage, but no when-not or alternatives mentioned.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Claim this connector by publishing a /.well-known/glama.json file on your server's domain with the following structure:
{
"$schema": "https://glama.ai/mcp/schemas/connector.json",
"maintainers": [{ "email": "your-email@example.com" }]
}The email address must match the email associated with your Glama account. Once published, Glama will automatically detect and verify the file within a few minutes.
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