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

No annotations exist, so the description carries the full burden of behavioral disclosure. It only names the action and does not state whether cancellation is reversible, what happens to attendees/tickets, or whether any confirmation is required.

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 with no filler or repetition. It is concise even though it is too thin in substance, which is penalized in other dimensions.

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 performs a mutating action but lacks annotations and usage context; the description omits consequences, alternatives, and preconditions. An output schema exists but does not make up for the absent guidance about cancellation behavior.

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

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

The schema has no per-parameter descriptions (0% coverage), and the description adds no information about event_id. The parameter name and title are self-explanatory, but the description does not compensate for the missing schema documentation.

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

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

The description states the verb ('Cancel') and resource ('an event on Eventbrite'), making the core operation immediately understandable. However, it does not differentiate cancel_event from sibling delete_event or unpublish_event, so it is clear but lacks sibling contrast.

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

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

No guidance is given about when to cancel an event versus deleting, unpublishing, or updating it. There is no mention of prerequisites or conditions, so the agent must infer usage from the name alone.

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

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

With no annotations provided, the description carries the full burden of behavioral disclosure, but it only restates the action. It does not mention whether the operation is idempotent, what happens if the attendee is already checked in, permission requirements, or side effects like notifications.

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 efficient sentence with no wasted words. It front-loads the primary purpose, though it is arguably too thin to fully support the tool.

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

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

For a state-changing tool with no annotations and zero schema coverage, the description is too sparse. It omits essential operational context such as idempotency, prerequisites, and failure cases. The presence of an output schema helps but does not compensate for the missing behavioral and usage guidance.

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 by clarifying the parameters. It does not explain the relationship between event_id and attendee_id, the expected format, or any validation rules beyond the parameter names themselves.

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

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

The description uses a specific verb ('Check in') and identifies the exact resource ('an attendee at the event'). It clearly distinguishes the tool from sibling tools like list_event_attendees or get_attendee_details, since no other sibling tool has a check-in action.

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

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

No guidance is given on when to use this tool versus alternatives, nor any prerequisites such as the attendee being registered, the event being active, or the need for a valid ticket. The description simply states the action without context.

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

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only states the operation and that the result is a draft; it does not disclose whether the original event is modified, what data is copied (e.g., ticket classes, capacity tiers, teams), or any permission or side-effect caveats.

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, concise sentence that front-loads the action and outcome with no filler or redundant words. Every word earns its place.

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

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

For a tool with no annotations and a simple but consequential operation, the description is thin. It omits what exactly is copied, whether the original remains untouched, and any prerequisites. An output schema exists, so return values need not be explained, but behavioral details beyond the basic action are underspecified.

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% for event_id, and the description's phrase 'existing event' clarifies that event_id refers to the source event to copy. This adds some meaning beyond the bare schema, but it doesn't explain constraints like whether the event must exist, its required state, or the format of the ID.

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

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

The description states a specific verb ('Clone/copy'), a resource ('an existing event'), and the outcome ('into a new draft event'). It clearly distinguishes itself from siblings like create_event and update_event because it explicitly duplicates an existing event into a draft, not creating from scratch or modifying.

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

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

The description implies usage: use this tool when you want to duplicate an existing event into a draft. However, it provides no explicit when-not guidance or alternatives (e.g., 'use create_event for new events from scratch'), leaving the agent to infer the appropriate context without direct comparison to sibling tools.

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

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

No annotations are provided, so the description carries the full burden. It usefully reveals that the event is created in draft state and that timestamps must be UTC strings in a specific format. It does not mention permission requirements, side effects, or how defaults apply to omitted parameters.

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

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

The description is only two sentences, with the core action front-loaded and the timestamp constraint placed immediately after. There is no filler or redundant 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 12-parameter creation tool with no annotations and no schema descriptions, this is thinly documented. The description covers draft state and timestamp encoding, but does not explain key optional parameters or relationships like venue_id referencing an existing venue; the output schema does not compensate for missing parameter semantics.

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

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

Schema description coverage is 0%, so the description must compensate. It only clarifies the timestamp format and organizational scope; the meanings of parameters like listed, shareable, online_event, capacity, and venue_id are left entirely to inference from names and defaults.

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 object: it creates a new draft event under an organization. This clearly distinguishes it from update_event, publish_event, and copy_event, and the word 'draft' makes the resulting state explicit.

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 'new draft event' implies this is for first-time event creation rather than editing or publishing. However, there is no explicit guidance on when to prefer this over alternatives like create_event_schedule or update_event, nor any conditions that would exclude it.

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

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It merely restates the creation action and does not mention effects such as capacity counting, defaulting of count_against_event_capacity, idempotency, or what the created tier looks like in the response. The description adds no behavioral transparency beyond the tool name.

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

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

The description is a single compact sentence with no filler and the core action is front-loaded. It is appropriately brief, though the brevity borders on under-specification.

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 creation tool with four parameters and no annotations, the description is too thin to be fully self-sufficient. The presence of an output schema covers return shape, but parameter semantics and usage context are not supplied. An agent would still need to infer key details about the tier's purpose and required inputs.

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

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

Schema description coverage is 0%, and the description does not explain any of the four parameters. It does not clarify how quantity_total is used or what count_against_event_capacity means beyond its schema default. The description adds no value beyond the parameter names already visible in the input 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 states a specific verb ('Create a new') and a resource ('inventory tier for an event'), and the verb alone distinguishes it from sibling tools like update_event_inventory_tier, delete_event_inventory_tier, and list_event_inventory_tiers. The purpose is unmistakable and correctly scoped.

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

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

There is no explicit 'use when' or 'use instead' guidance, so an agent must infer when to call this tool from the verb and the sibling names. It is implied that this tool is for creating rather than updating or deleting a tier, but no context is given about when such a tier should be created.

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

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

No annotations are provided, so the description carries the full behavioral disclosure burden. It only says 'Create a registration question' and lists valid types, but does not disclose side effects, prerequisites, permission needs, reversibility, or whether choices are required for certain types. The mutation aspect is implied but not elaborated.

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

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

The description is only two short sentences, both of which carry useful information. It is front-loaded with the core purpose and immediately provides the allowed type values, with zero filler or redundancy.

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

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

For a tool with 6 parameters, 0% schema description coverage, no annotations, and no enums, this description is too sparse. It misses critical usage details such as how 'choices' interacts with the 'type' parameter, what 'ticket_classes' controls, and the meaning of the required flag. The existence of an output schema covers return-value expectations, but the input-oriented context is incomplete.

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

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

Schema description coverage is 0%, so the description must compensate. It does add useful meaning by enumerating allowed values for the 'type' parameter ('text', 'multichoice', 'checkbox', 'radio'), which the schema does not provide as an enum. However, it leaves the other five parameters unexplained, including important relationships such as 'choices' being relevant for multichoice/checkbox/radio types and the meaning of 'ticket_classes'.

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

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

The description states a specific action (Create) and a specific resource (a registration question for an event), which clearly distinguishes it from sibling tools like list_event_questions, get_event_question, and delete_event_question. The verb and resource are unambiguous.

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

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

The description implies when to use the tool (when creating a registration question for an event) but provides no explicit guidance about alternatives or exclusionary conditions. It does not mention when to use canned questions, question templates, or other related tools.

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

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

With no annotations, the description carries the full burden of behavioral disclosure, but it only states that a schedule is created. It does not mention prerequisites such as an existing event series, side effects, validation constraints, or whether the operation is idempotent or destructive.

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

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

The description is short and front-loaded with the core action. The second sentence is a useful parameter hint, though it is placed awkwardly rather than in a structured parameter section.

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 creation tool with three required parameters and no annotation coverage, the description is not complete: it provides no context on how event_series_id is obtained, how occurrence_duration_seconds relates to the schedule, or what constitutes a valid recurrence rule beyond the example.

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

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

Schema description coverage is 0%, so the description must compensate for the schema, but it only explains recurrence_rule with an iCalendar RRULE example. The required event_series_id and occurrence_duration_seconds parameters receive no semantic explanation.

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

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

The description states a specific action ('Create') and resource ('recurring event schedule'), making the core purpose clear. It is distinguishable from create_event by the recurring-schedule framing, though it does not explicitly name sibling alternatives.

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

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

No guidance is given on when to use this tool instead of create_event, update_event, or other scheduling/event tools. The recurrence wording implies its niche, but the description leaves the selection decision to inference.

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

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

No annotations are provided, so the description carries the full behavioral disclosure burden. It only states the creation action without mentioning side effects, error conditions, uniqueness constraints, or permissions. For a mutation tool with zero annotation support, this is insufficient.

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 with no wasted words. It efficiently communicates the action and the object while remaining easy to parse.

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

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

The tool is relatively simple with only two required parameters and an output schema, so the description is adequate for basic invocation. However, it lacks parameter-level detail and behavioral context, leaving gaps around prerequisites and failure modes. It meets the minimum viable standard but no more.

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

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

Schema description coverage is 0%, and the description does not explain either parameter. 'For an event' loosely maps to event_id, but there is no additional meaning about name format, uniqueness, or how the team relates to the event. The description adds minimal value beyond the schema property titles.

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 ('Create'), a specific resource ('team'), and the context ('for an event'). This clearly distinguishes it from sibling read tools like list_event_teams and get_event_team, so an agent can identify the tool's purpose without opening the 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?

The verb 'Create' implies when to use this tool, and naming the resource 'team' provides some context. However, there is no explicit guidance about when not to use it, prerequisites (e.g., event must exist), or alternatives such as list_event_teams or get_event_team. The usage is merely implied, not stated.

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

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It only restates the create action and lists parameter values; it does not mention side effects, validation requirements, uniqueness constraints, or any consequences of creating a discount or access code.

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

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

The description is short, front-loaded, and free of filler. The type enumeration earns its place by conveying the only parameter semantics present. However, given the tool's complexity, the extreme brevity borders on under-specification rather than efficient conciseness.

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 create tool with 11 parameters, 0% schema coverage, no annotations, and an output schema that only describes return values, the description is not complete. An agent cannot determine how the discount types relate to parameters, which fields are required for which type, or what the operational effects will be.

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 11 undocumented parameters. It adds only the possible values for 'type' and the target scope ('organization or event'), but leaves required parameters like 'organization_id' and 'code' and key fields like 'value', 'amount_off', 'percent_off', and 'quantity_available' entirely unexplained.

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 action ('Create') and the resource ('discount or access code'), and scopes it to an organization or event. It also enumerates the allowed types, distinguishing the tool's purpose from sibling list/update/delete discount tools, though without explicitly naming them.

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 verb 'Create' and the phrase 'for an organization or event' imply when to use this tool: when a new discount or access code is needed. However, there is no explicit guidance on prerequisites, when to prefer alternative tools, or how the different types ('access', 'coded', 'hold', 'public') should influence tool selection.

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

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

No annotations are present, so the description carries full behavioral disclosure burden. It only restates the basic creation operation and does not mention permissions, side effects, default behavior, status implications, or what happens to associated ticket classes.

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 efficient sentence with no filler. It is under-specified, but it avoids redundancy and keeps the core purpose front-loaded.

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

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

For a creation tool with no annotations and multiple parameters, the description leaves important context missing: whether status defaults matter, what ticket_class_ids does, and any behavioral caveats. The output schema exists, but it does not compensate for missing usage and behavioral 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 description coverage is 0% for four parameters, and the description adds no meaning for 'name', 'status', 'organization_id', or 'ticket_class_ids'. It only repeats the organizational scope implied by the tool name.

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 ('Create'), a resource ('ticket group'), and the scope ('under an organization'). It is clearly distinguishable from sibling tools like get_ticket_group, update_ticket_group, and delete_ticket_group.

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

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

No guidance is given about when to create a ticket group versus updating or listing existing ones. The description provides no exclusions, prerequisites, or alternative routing.

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

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It communicates the creation side effect and the actions format, but omits auth requirements, endpoint verification behavior, idempotency, and the meaning of the optional event_id. This is a significant gap for a mutating tool.

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

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

The description is appropriately concise: two sentences, purpose first, with a useful parameter hint and no filler. It could be structured slightly better, but it is efficient and front-loaded.

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

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

The output schema helps with return values, but the description leaves key input context missing: what event_id means, whether endpoint_url has constraints like HTTPS, and what valid actions are beyond the examples. For a 4-parameter creation tool with zero schema coverage, this is incomplete.

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

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

Schema description coverage is 0%, so the description must compensate. It usefully documents 'actions' as a comma-separated list with examples, but it provides no meaning for organization_id, endpoint_url, or the nullable event_id. Only one of four parameters gains real semantic value from the description.

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

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

The description states a specific verb and resource: 'Create a webhook endpoint for an organization.' This clearly distinguishes it from sibling tools like list_organization_webhooks, list_user_webhooks, and delete_webhook by signaling creation scoped to an organization.

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 when-to-use or when-not-to-use guidance is given, and no alternatives are named. However, the 'Create...' wording and the sibling tool names (list/delete webhooks) make the intended usage clear by implication.

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

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only states 'Create a ticket class' with a parenthetical about free vs paid. It does not disclose side effects, permission requirements, whether the event must already exist, or what the response contains. For a mutating create operation, this is a significant gap in transparency.

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 very concise (single sentence), which is good for readability, but it lacks structure and front-loaded critical details. It is not verbose but is under-specified, so the conciseness does not earn its place given the complexity of the tool. A slightly more detailed but still structured description would be more appropriate.

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

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

With 9 parameters, no annotations, and no parameter descriptions in the schema, the description is far from complete. It does not explain the purpose of key fields like quantity limits, currency, or description, nor does it describe expected inputs or side effects. The output schema exists but the description adds nothing about invocation context or constraints. This is a highly incomplete definition for a create operation with this parameter 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 description coverage is 0%, so the description must compensate for the 9 parameters. However, the description only hints at the free vs paid distinction (implicitly mapping to 'free' and 'cost_in_cents'), and provides no meaning for other parameters like 'quantity_total', 'minimum_quantity', 'maximum_quantity', 'currency', or 'description'. With zero coverage and minimal description, the parameter semantics are severely under-explained.

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

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

The description clearly states the action ('Create') and the resource ('ticket class') with a scope ('for an event'). It also hints at the two main modes ('free admission or paid tier'), which distinguishes it from get/update/list ticket class tools. This is a specific verb+resource statement that leaves no ambiguity about what the tool does.

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

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

The description implies when to use this tool (when creating a ticket class) but provides no explicit guidance on when NOT to use it, nor does it reference alternatives like create_organization_ticket_group or update_ticket_class. With no exclusions or alternative routing, the usage guidance is merely implied by the action word 'create'.

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

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

No annotations are provided, so the description must cover behavioral traits. It states the action (create) but omits prerequisites (e.g., organization must exist), permission requirements, side effects, or behavior on duplicate names. The brief description leaves significant gaps.

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 sentence with no filler, front-loading the core action and scope. It is appropriately 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?

For a tool with 9 parameters (6 required), no schema descriptions, and no annotations, the description is far from complete. It fails to explain required fields like address, city, region, or postal code, and provides no guidance on how to construct a valid request. The output schema exists, so return format is covered, but the input side is under-specified.

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 by explaining parameters. It only hints at 'under an organization' (organization_id) but gives no meaning for the other 8 parameters. The description adds almost no semantic value over the schema's bare types.

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

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

The description clearly states the action ('Create') and the resource ('a new venue'), and specifies the scope ('under an organization') with examples of venue types. This distinguishes it from siblings like update_venue, get_venue, and list_organization_venues.

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

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

Usage is implied: use this when creating a new venue. However, there is no explicit guidance on when not to use it or how it compares to alternative tools (e.g., update_venue for modifications). No exclusions or conditions are mentioned.

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

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states only that a discount code is deleted, without mentioning whether the deletion is permanent, whether it cascades, whether it requires special permissions, or what happens to associated data. For a destructive operation, this is insufficient.

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 extremely concise, front-loaded, and contains no filler. It is appropriately sized for a simple one-parameter delete tool, though the brevity contributes to missing contextual details.

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

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

For a simple tool with one required parameter and an output schema, the description plus schema provide a minimal callable definition. However, the lack of destructive-behavior context and parameter-source guidance leaves clear gaps that matter for correct and safe invocation.

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

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

Schema description coverage is 0%, and the description does not explain the discount_id parameter beyond implying it identifies a discount code. It does not indicate how to obtain a valid ID, whether the ID must be globally unique, or any format expectations. The description fails to compensate for the missing schema-level parameter documentation.

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

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

The description 'Delete a discount code' uses a specific verb and resource, clearly identifying what the tool does. It is also distinguishable from sibling delete tools like delete_event or delete_webhook by naming the discount resource. It lacks extra scoping detail, but the core purpose is unambiguous.

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

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

No guidance is provided about when to use this tool versus alternatives such as update_discount or get_discount. The description only implies usage through the verb 'Delete'. There is no mention of prerequisites, exclusions, or when a different discount-related tool should be chosen.

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

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

With no annotations provided, the description must disclose behavioral traits on its own, but it only says 'delete'. It fails to state whether deletion is permanent, whether it cascades to tickets, teams, or other associated data, whether permissions are required, or whether the action is reversible. This is a significant gap for a destructive mutation tool.

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

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

The description is a single, efficient sentence that front-loads the verb and resource. It contains zero filler or redundant details, making it easy to parse at a glance.

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 destructive nature and the complete absence of annotations, the description omits critical context about permanence, side effects, and permission requirements. An output schema exists, but a one-sentence description is insufficient for a delete operation that interacts with related data.

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

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

The description adds little beyond the schema: 'by ID' merely restates that event_id identifies the event. With 0% schema description coverage, it doesn't clarify ID format, constraints, or how to obtain it. However, for a simple string ID, this minimal mapping is acceptable, hence a mid-range score.

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 'Delete an event by ID' states a specific verb and resource, making the tool's intent clear. It differentiates itself from read and update operations like get_event and update_event, though it does not explicitly contrast with sibling cancel_event, leaving some ambiguity about how deletion differs from canceling an event.

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

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

The description gives no guidance on when to use delete_event versus alternatives such as cancel_event or unpublish_event. There is no mention of prerequisites, whether deletion is permanent, or which scenarios call for this tool over others, so agents receive no decision support.

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

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the action but does not disclose consequences such as irreversibility, cascading effects on tickets or inventory, permission requirements, or what happens to associated data. For a destructive operation, this is a significant gap.

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

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

The description is a single concise sentence that is front-loaded with the action and resource. It earns its place with no filler, though it could add a brief note on consequences without becoming verbose.

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 destructive mutation tool with no annotations and no output schema details, the description is incomplete. It does not mention whether the deletion is permanent, what happens to associated inventory or tickets, or any prerequisites. The output schema exists but the description does not clarify what the response contains, which is less critical but still relevant.

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

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

Schema description coverage is 0%, so the description must compensate. It identifies the resource being deleted but does not explain the meaning of event_id or inventory_tier_id beyond their names. The parameter names are fairly self-explanatory, but the description adds no detail about formats, relationships, or constraints.

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 'Delete an inventory tier from an event' clearly states the verb (delete), the resource (inventory tier), and the scope (from an event). It is specific enough to distinguish from sibling tools like create_event_inventory_tier, update_event_inventory_tier, and get_event_inventory_tier, though it does not explicitly name those alternatives.

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

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

The description provides no guidance on when to use this tool versus alternatives, nor any exclusions or prerequisites. The context is implied by the name and description, but there is no explicit routing to siblings or conditions for deletion (e.g., whether the tier must be empty or if deletion is irreversible).

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

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

No annotations are provided, so the description carries the full burden. It only says 'delete' without disclosing consequences (permanence, cascading effects, permission requirements, or success/failure behavior). The lack of detail on side effects is a significant gap for a mutation tool.

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

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

The description is a single concise sentence with no fluff. It is appropriately short for a simple delete tool, though it omits critical behavioral context. The structure is clean, but the brevity comes at the cost of completeness.

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 low complexity with only two parameters, but the description lacks any mention of return values, side effects, permissions, or error conditions. Given the presence of an output schema (per context signals), the description should clarify what the operation returns or confirms, which it does not. Incomplete for safe invocation.

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

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

Schema description coverage is 0%, and the description does not mention event_id or question_id. While the parameter names are self-explanatory, the description adds no meaning beyond what the schema already shows, failing to compensate for the missing schema documentation.

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

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

The description states a clear verb (delete) and resource (custom registration question), distinguishing it from sibling delete tools by resource type. It is not a tautology and is unambiguous, though it could be more explicit about scope (e.g., permanent removal).

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

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

The description provides no guidance on when to use this tool versus alternatives like delete_event or delete_discount. There are no preconditions, context, or references to sibling tools, leaving the agent to infer usage from the tool name alone.

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

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

No annotations are present, so the description carries the full burden of behavioral disclosure. It only states 'Delete a ticket group,' which implies destructive action but does not specify irreversibility, side effects on associated tickets or events, permissions required, or what the output represents. For a destructive tool, this is severely inadequate.

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 very short, but this is under-specification rather than concise effectiveness. It adds no value beyond the tool name and does not front-load any critical information. The brevity is not earned because it omits essential context.

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 a single parameter and destructive action, the description should explain what a ticket group is, the consequences of deletion, and any prerequisites. It does none of this. Even though an output schema exists, the description leaves the agent without enough information to safely invoke the tool. Completely inadequate.

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

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

Schema description coverage is 0%, and the description does not mention the parameter 'ticket_group_id' at all. It adds no meaning beyond what the schema field name implies. There is no guidance on the format, source, or validation of the ID. The description fails to compensate for the lack of schema documentation.

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

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

The description states a clear verb and resource: 'Delete a ticket group.' It is unambiguous about the action, but it does not differentiate from sibling tools like delete_event or delete_discount beyond the object type. Since it is clear but lacks sibling differentiation, a score of 4 is appropriate.

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

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

There is no guidance on when to use this tool, prerequisites, or alternatives. It does not mention any conditions for deletion (e.g., whether the ticket group must be empty or have no associated events), nor does it direct the agent to related tools like get_ticket_group for verification. No usage context is provided.

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 are absent, so the description carries the full burden of behavioral disclosure. It does not disclose the destructive nature of the operation (beyond the verb 'delete') or mention any irreversible consequences, error conditions, or required permissions. The description is minimal and leaves much to inference.

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, short sentence that is immediately clear and front-loaded. No wasted words; it is concise yet sufficient given the tool's simplicity.

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

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

The tool is a simple delete operation with one parameter and no annotations. The description is too sparse to be complete: it lacks any context about error handling, idempotency, or the effect of deleting a webhook (e.g., whether it is permanent). Given the availability of an output schema, it might be sufficient for a basic call, but the lack of usage and behavior details makes it incomplete.

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

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

Schema coverage is 0%, and the description provides no additional detail about the 'webhook_id' parameter beyond its name in the schema. It doesn't explain what the ID looks like, how to obtain it, or any constraints (e.g., format, ownership). Given the single parameter, this is a significant 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 clearly states the action ('Delete') and the resource ('a webhook') with a specific identifier ('by ID'). It is unambiguous and distinguishes it from other webhook operations like create_organization_webhook or list_organization_webhooks, though it doesn't explicitly name siblings.

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

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

The description implies that the tool is for deleting webhooks but does not provide explicit guidance on when to use it versus other webhook-related tools, nor does it mention any prerequisites (e.g., that the webhook must exist or that the user must own it).

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

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

With no annotations, the description carries the full burden of behavioral disclosure. It does state that this is a read operation and enumerates returned content (profile, barcode, custom question answers), which is useful. However, it does not disclose behavior for missing attendees, permission requirements, or whether any returned fields can be null or omitted.

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 sentence with no filler or repetition. It front-loads the action and lists the key data categories, so every word earns its place.

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

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

This is a simple two-parameter get operation and an output schema exists, so the description does not need to explain return values. However, the lack of usage guidance and parameter semantics means an agent may not know when to choose this over list_event_attendees or how to interpret the attendee_id parameter.

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

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

Schema description coverage is 0%, and the description does not mention event_id or attendee_id at all. The parameter names are somewhat self-explanatory, but the description adds no meaning about the relationship between the IDs, such as whether attendee_id is event-scoped or global.

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?

"Retrieve" is a clear action verb and the resource is specific: a full attendee profile, barcode, and custom question answers. This distinguishes it from sibling list tools like list_event_attendees and checkin_attendee, so an agent can tell what it does without opening the 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?

The description provides no guidance on when to use this tool versus alternatives such as list_event_attendees, get_order, or checkin_attendee. It only implies a single-attendee lookup through the verb "Retrieve," but never states the conditions or exclusions.

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

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

With no annotations, the description carries the full burden of behavioral disclosure. It implies a read-only reporting operation, but does not state that it returns aggregate counts, that it is non-mutating, or describe any pagination or data limits. The word 'summary' hints at behavior, but the opacity is a clear gap.

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

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

One sentence, front-loaded with the core action and argument. The wording is tight and has no filler. It loses a point only because the brevity leaves out meaningful parameter explanation, which is a completeness issue rather than a conciseness one.

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

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

The tool has a simple surface (2 params, 1 required) and an output schema, so the description doesn't need to explain return shape. But it leaves filter_by entirely unexplained and gives no context about how summary reports differ from the many attendee-list siblings. It is minimally 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%, so the description must compensate. It usefully explains event_ids as 'one or more' and 'comma-separated', but the filter_by parameter is completely undocumented—its possible values and default semantics remain opaque. Thus the description only partially compensates for the schema 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 states a specific verb and resource: it retrieves an 'attendee summary report' for event IDs, which distinguishes it as a report rather than a raw attendee list. It does not explicitly compare against siblings like list_event_attendees or get_attendee_details, so it loses one point for lacking explicit sibling 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?

There is no guidance on when to use this tool versus alternatives such as list_event_attendees, list_organization_attendees, or get_attendee_details. The description implies usage for summary reporting across one or many events, but gives no preconditions, caveats, or exclusions, leaving selection to inference.

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

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

No annotations are provided, so the description carries the full burden. It does disclose a meaningful behavioral trait—reading from a local SQLite cache, which signals potential staleness and no network dependency. But it does not state what happens when the cache is empty, whether sync_organization_events must be run first, or how freshness is maintained.

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

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

A single front-loaded sentence that delivers verb, resource, output dimensions, and data source with zero filler. Every phrase earns its place and the key differentiator (cache) appears early.

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

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

The output schema covers return values, and the core purpose is clear, so the definition is adequate. However, an agent still lacks guidance on cache freshness versus live endpoints, prerequisites (e.g., whether the cache must be synced), and parameter semantics—moderate gaps for a tool with no annotations and no parameter documentation.

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?

With 0% schema description coverage, the description must compensate, but it only alludes to 'by year' without clarifying whether the year parameter filters or groups results (the description says stats are grouped 'by year' while year is also an input). It says nothing about organization_id scoping, so the agent is left guessing about both 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 states a specific verb and resource ('Retrieve aggregate event statistics') from a distinct source ('local SQLite cache'), and enumerates the exact breakdowns (by status, by year, by top cities). This clearly differentiates it from siblings like get_sales_report, get_attendees_report, and list_organization_events.

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 'from local SQLite cache' implies a tradeoff against live-reporting siblings (get_sales_report, get_attendees_report, search_events), suggesting the cached variant is for fast/offline reads. However, it never names alternatives or states when to prefer the cache versus when fresh data is required, so the usage context is only implied.

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

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

No annotations are provided, so the description carries the full burden. It conveys a read-only behavior and the result shape (details + subcategories), but doesn't disclose auth needs, rate limits, error behavior, or any side effects. There is no contradiction with annotations because none exist, and the 'get' verb signals a non-mutating action.

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

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

A single declarative sentence with no filler or redundancy. The key verb and object appear early, and every phrase adds clarity.

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 simplicity of the tool (one parameter, output schema present), the description is adequate but not comprehensive. It omits considerations like unknown category IDs, created/updated behavior, and relationship to list_categories, which would be valuable context even for a getter with an output schema.

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

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

Input schema coverage is 0%, and the description only says 'specific category ID', which basically restates the category_id field name. It doesn't explain the ID format, source, or sampling criteria for the category ID, so the description fails to compensate for the schemas' missing metadata.

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 pair: 'Get details and subcategories for a specific category ID.' It clearly distinguishes from list tool siblings like list_categories and get_subcategory by mentioning subcategories, though it doesn't explicitly cross-reference them.

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

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

No guidance is given on when to prefer get_category over list_categories or get_subcategory. The only cue is implied by having a category_id, but there is no explicit when-to-use/when-not-to-use or alternative routing.

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

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

With no annotations, the description carries the behavioral burden; it discloses that this is a read-only retrieval and requires authentication context. However, it does not mention authorization scope requirements, potential errors, or any rate-limit considerations. For a zero-parameter read operation, this is acceptable but not richly transparent.

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

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

A single, front-loaded sentence states exactly what the tool does with no filler. Every word contributes to the agent's understanding of purpose and scope.

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

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

This is a simple zero-parameter, read-only lookup with an output schema available. The description sufficiently covers the tool's purpose, scope, and auth context; nothing critical is missing for an agent to invoke it correctly.

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

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

The tool has zero parameters and the schema coverage is 100%, so there are no parameter semantics for the description to add. The baseline of 4 applies because the empty input schema fully documents the parameter surface and the description does not need to compensate.

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

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

The description uses a specific verb ('Retrieve') with a clear resource: profile and email details of the authenticated Eventbrite user account. By specifying 'authenticated' and 'current' context, it distinguishes this from sibling get_user_by_id without needing extra explanation.

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

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

The description clearly implies the tool is for the authenticated user's own profile/email, but it never explicitly states when to prefer this over get_user_by_id or any other lookup alternative. The usage context is clear, but there is no explicit 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?

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only states 'get details' — implying a read operation — but discloses nothing about authentication requirements, behavior on invalid or nonexistent discount IDs, rate limits, or the nature of the returned data beyond what the output schema already provides. For a tool with zero annotation coverage, this is a significant gap in behavioral context.

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

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

The description is a single 11-word sentence with zero filler. The action verb and resource are front-loaded, and every word earns its place. There is no redundant phrasing or tautological repetition of the tool name.

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 (one required string parameter, an output schema, no nested objects), the description is reasonably complete: it covers the tool's purpose and the parameter's meaning. The main gap is the lack of explicit routing to sibling tools like list_organization_discounts when a full list is needed, but for a simple ID-based getter the output schema covers the return-value side, so only minor context is missing.

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

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

Schema description coverage is 0% and there is a single required parameter (discount_id), so the description must compensate. It does add marginal value by clarifying that discount_id refers to either a promotional discount OR an access code — information not present in the schema label 'Discount Id'. However, it does not explain the ID format, how to obtain one, or whether the two types are treated differently. The compensation is minimal.

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

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

The description uses a specific verb ('get') with a clear resource ('details of a specific promotional discount or access code'). The word 'specific' scopes it to single-item retrieval by ID, which distinguishes it from siblings like list_organization_discounts (listing) and delete_discount (mutation). An agent can identify what this tool does immediately.

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

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

The description implies usage ('get details of a specific...') — you call this when you have a particular discount or access code in mind, contrasting implicitly with list_organization_discounts. However, it does not explicitly name alternatives or state when NOT to use it, such as pointing to list_organization_discounts when you need all discounts or don't have an ID. The guidance is implied rather than explicit.

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

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

No annotations are provided, so the description carries the full burden. It discloses that the tool returns status, schedule, venue, and capacity, but it doesn't mention whether the event must be published, whether deleted events are retrievable, or any access/permission requirements. For a read tool with zero annotation coverage, this is a meaningful gap.

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

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

One sentence, front-loaded with the verb and resource, and it lists the key detail categories. 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 tool has an output schema, so return values are documented elsewhere. The description covers the main detail categories and the single required parameter is obvious. However, with no annotations and no mention of error cases or access constraints, it is only minimally complete for a simple read tool.

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

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

Schema description coverage is 0%, so the description must compensate. It does not explain the event_id format (e.g., UUID, numeric, slug) or where to find it. However, with only one parameter named 'event_id', the meaning is largely self-evident from the schema, so the baseline is acceptable.

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

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

The description states a specific verb ('Get') and resource ('details for a specific event') and lists the detail categories: status, schedule, venue, and capacity. This distinguishes it from list-style siblings like list_organization_events and search_events, though it doesn't explicitly name a sibling to differentiate from.

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

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

The description implies usage: call when you need details for one specific event, identified by event_id. It doesn't explicitly state when not to use it or name alternatives like get_event_series or list_venue_events, but the singular 'specific event' provides enough context for an agent to select it over list/search tools.

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

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the tool 'gets' data, implying a read operation, but does not disclose whether the event must be published, whether the capacity tier is a single value or a list, or any error conditions. The description adds minimal behavioral context beyond the verb 'get'.

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, concise sentence that is front-loaded with the action and resource. It is appropriately sized for a simple getter tool, though it could add a bit more context without becoming verbose.

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 an output schema and only one parameter, the description is somewhat complete for a simple retrieval. However, with no annotations and no parameter semantics, an agent lacks context about what 'capacity configuration' includes, whether tier count is a number or an array, and any prerequisites. The output schema may help, but the description alone is thin.

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

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

Schema description coverage is 0%, and the description does not explain the event_id parameter beyond its name and type. The schema only shows event_id is a required string, which is insufficient for an agent to know what format or scope of event ID is expected. The description adds no parameter-level meaning.

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 'Get capacity configuration and tier count for an event' clearly identifies the resource (event capacity configuration) and the specific data returned (tier count). It distinguishes itself from sibling tools like get_event_inventory_tier and update_event_capacity_tier, though it doesn't explicitly name them.

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 a read-only retrieval use case but provides no explicit guidance on when to use this tool versus alternatives like get_event_inventory_tier or list_event_inventory_tiers. An agent can infer it is for fetching capacity tier configuration, but the description doesn't state exclusions or conditions.

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

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

No annotations are provided, so the description carries the full burden. It discloses that the tool returns full description HTML and text, which is useful, but does not mention side effects, authorization requirements, or error behavior. For a read operation, this is acceptable but not comprehensive.

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 concise sentence with no wasted words. It is front-loaded with the core action and resource, making it easy to parse.

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

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

For a simple getter with one parameter and an output schema, the description is sufficient. It states the return format, and the output schema covers the exact structure. However, it lacks any usage context or parameter explanation, which would be helpful but is not critical for this simple tool.

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

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

Schema description coverage is 0%, and the description does not explain the event_id parameter. While the parameter name is self-explanatory, the description adds no additional meaning beyond what the schema already states, failing to compensate for the missing schema descriptions.

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 ('Get'), resource ('description'), and scope ('for an event'), and specifies the return format ('HTML and text'). This clearly distinguishes it from sibling tools like get_event, which likely returns the full event object.

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 this tool versus alternatives. The name implies it is for description retrieval, but the description does not mention alternatives or exclusions, leaving the agent to infer from context.

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

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

No annotations are present, so the description must convey behavior. The verb 'Get' implies a read-only operation, which is a useful signal, but it does not explicitly state that no modifications occur, nor does it describe error behavior or response structure. The description is minimal but not misleading.

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

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

The description is a single, compact sentence with the key action and resource front-loaded. No unnecessary words or repetition; every part earns its place.

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

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

Given the tool's simplicity (one parameter) and the presence of an output schema (not shown), the description provides sufficient examples of what settings are covered. However, it lacks usage context and parameter clarification, making it not fully complete for an agent operating among many similar event tools.

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

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

The input schema has 0% description coverage for the single parameter event_id. The description does not mention or explain this parameter, leaving the agent to infer that event_id is the identifier of the event. It adds no meaning beyond the schema's type and requirement.

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 action (Get) and the resource (display settings for an event page), with concrete examples (show start/end time, show organizer info). It distinguishes from sibling tools like update_event_display_settings and get_event by specifying the exact aspect of the event.

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 on when to use this tool versus alternatives such as get_event or update_event_display_settings. It does not mention prerequisites, nor does it say when this should be called (e.g., before editing settings).

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

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

No annotations are present, so the description must carry the behavioral burden, but it only restates the tool's purpose. It does not disclose permissions, scoping to an event, or any side effects; the output schema may cover return values but not behavior.

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

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

The description is one short, front-loaded sentence with no filler or repetition. It is efficient, though its brevity contributes to missing behavioral and usage context.

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 low-complexity read operation with two self-explanatory required parameters and an output schema, the minimal description covers basic invocation. However, it lacks any decision guidance relative to the many sibling tier and event tools, so it is only minimally 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%, and the description adds no meaning to event_id or inventory_tier_id beyond their names. It confirms the tier is 'specific' but does not explain how these IDs are obtained or how they relate to each other.

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

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

The description uses a specific verb ('Get') and resource ('details of a specific inventory tier'), clearly indicating a read operation targeted at one tier. The word 'specific' distinguishes it from list_event_inventory_tiers, though it does not clarify how inventory tiers relate to event or capacity tiers.

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

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

There is no guidance on when to use this tool rather than list_event_inventory_tiers, get_event_capacity_tier, or other getter tools. The description provides no prerequisites, exclusions, or alternatives, leaving the agent to infer its place among many siblings.

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

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

No annotations are provided, so the description carries the full behavioral burden. The verb 'Retrieve' indicates a read operation, but the description does not disclose error behavior, permissions, or potential side effects. It is minimally transparent but not misleading.

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 concise sentence with no filler. The key action and object are front-loaded, making it easy to scan while every word carries 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 two-parameter get operation with an output schema, the description is largely sufficient. The only slight gap is that it does not explicitly state that event_id and question_id together identify the question, but the schema and name largely compensate.

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

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

Schema description coverage is 0%, so the description must compensate. It adds a slight clarification by labeling the question as a 'registration question,' but it does not explain the semantics of event_id and question_id (e.g., that question_id is scoped to an event), leaving ambiguity about how the two IDs relate.

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 'Retrieve' and a clear resource, 'details of a registration question.' This distinguishes it from sibling tools like list_event_questions (plural list vs singular get) and create/delete_event_question, so an agent can tell it apart without opening the 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?

The description does not state when to use this tool versus list_event_questions or other alternatives. The intended usage (fetching a single question by its IDs) is implied by the name and parameters but never made explicit, leaving it at the 'implied usage' level.

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

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

With no annotations, the description carries the full burden of behavioral disclosure, but it only says 'get information.' It does not disclose error behavior, required permissions, idempotency beyond the verb, or any side effects. The description adds little beyond what the tool name already 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?

The description is a single concise sentence with no filler or redundancy, and it front-loads the main action and resource. It could carry more substance, but as far as conciseness, it wastes no 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 tool with one required parameter, an output schema, and no annotations, the description is too thin: it omits usage context, behavioral caveats, and parameter guidance. An agent could invoke it with an ID, but has little basis for when to choose this tool or how to interpret failures.

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

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

Schema description coverage is 0%, and the description does not compensate by explaining what 'event_series_id' means or how to supply it. The schema only provides the property name and type, leaving the parameter semantics entirely undocumented.

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

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

The description uses a clear verb-resource pattern: 'get' an 'event series,' so an agent can tell this is a read operation on an event series and distinguish it from 'get_event' or 'list_series_events' at a basic level. However, it does not explain what aspects of the series are returned or how this differs from sibling tools.

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

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

The description gives no guidance on when to use this tool versus alternatives like 'get_event' or 'list_series_events'. There are no exclusions, prerequisites, or context cues, so the agent must infer usage from the tool name alone.

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

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

With no annotations provided, the description must carry the burden of behavioral disclosure. It states 'Retrieve' which implies a read-only operation, but it does not explicitly confirm non-destructiveness, error behavior (e.g., what happens if the team is not found), or any permission requirements. For a read operation, the lack of explicit safety information is less critical, but the description offers no additional context beyond the basic action.

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, efficient sentence with no unnecessary words. The action is front-loaded, and the resource is clear. However, it could be slightly more informative without becoming verbose, such as mentioning that it returns the team details for a specific event. Structure is good but not outstanding.

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, has an output schema (which covers return values), and requires two obvious IDs. The description is minimal but adequate for a straightforward getter. However, it does not mention any prerequisites (e.g., that both IDs must be valid) or what 'details' include beyond the schema. Given the low parameter semantics, the description could be more complete by clarifying the parameter roles and possibly the expected output format.

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

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

Schema description coverage is 0%, so the description must compensate. It says 'specific team' and 'in an event', which implicitly maps to team_id and event_id, but it does not explain the meaning, format, or relationship of the parameters. The description adds minimal value beyond what the schema names provide, leaving the agent to infer the role of each ID. This is a significant gap given the complete lack of schema descriptions.

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 action: 'Retrieve details of a specific team in an event.' It names the resource (team) and the scope (event), which differentiates it from siblings like list_event_teams (which lists teams) and create_event_team (which creates). The verb 'retrieve' is specific and the resource is unambiguous.

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

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

The description provides no guidance on when to use this tool versus alternatives. It does not mention list_event_teams for enumerating teams or create_event_team for adding teams. The usage is only implied by the name and the specific IDs, but no explicit conditions or exclusions are given. For a simple getter, some guidance on when to use it (e.g., when you have a specific team_id) would be helpful, but it's absent.

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

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

No annotations are provided, so the description must carry the full burden of behavioral disclosure. The description states that the tool retrieves current fee rates and calculation rules, which indicates it is a read-only operation, but it does not mention whether it requires authentication, whether the returned data is cached or real-time, or what happens for unsupported country/currency combinations. It also does not describe the structure of the response despite there being an output schema, which is a missed opportunity. The description is functional but covers only the basic purpose, not operational behavior.

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

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

The description is a single sentence that is direct and free of fluff. It front-loads the main action (get current fee rates) and includes the key parameters that narrow the scope. There is no redundant information or verbosity; every word earns its place.

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

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

Given that there is an output schema, the description does not need to detail the return format, but it should still provide enough context for an agent to call the tool correctly. It lacks information about parameter format expectations, potential errors for unsupported countries, and any authentication prerequisites. For a tool with only two parameters and an output schema, it is borderline adequate, but the lack of any behavioral detail and reliance on the output schema (which is not shown to the agent in the description) leaves significant 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?

The input schema provides the parameter names 'country' and 'currency' with defaults, but the description adds minimal value by clarifying that these parameters determine the fee rates and calculation rules. Schema description coverage is 0%, so the description compensates to some degree by explaining the purpose of the parameters. However, it does not specify formats (e.g., ISO country codes, currency codes) or constraints (e.g., only certain countries supported). The description adds basic semantic meaning but not enough to fully offset the lack of schema documentation.

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

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

The description clearly states that the tool retrieves current fee rates and calculation rules for a specified country and currency. It identifies the resource (fee rates) and the specific parameters, making it distinct from other tools that manage events, discounts, or attendees. However, it does not explicitly differentiate from any sibling that might also deal with fees or pricing, but none of the listed siblings appear to handle fee rates, so it is sufficiently unique.

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

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

The description implies that this tool should be used when fee rates for a country and currency are needed, but it does not provide explicit guidance on when to use it versus alternatives. There are no sibling tools that obviously compete with this one, so the lack of exclusions is not critical, but it also does not state any prerequisites or contexts (e.g., must be called before creating an event to estimate fees). The usage is implied by the function's purpose, but explicit guidance is minimal.

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

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

No annotations are provided, so the description carries the behavioral disclosure burden. 'Get details' reasonably implies a read-only fetch, but the description does not mention permissions, error behavior, or whether archived or deleted formats are included. It is not misleading, just minimal.

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 with no filler or redundant content. Every word earns its place for this simple one-parameter getter.

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

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

For a simple one-parameter lookup with an output schema, the description is minimally adequate. It identifies the resource and the singular selection, but it does not mention the closely related list_formats tool or provide usage context such as prerequisites or expected error scenarios.

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 should compensate for the undocumented format_id parameter. It loosely maps to 'a specific event format', but it does not explain how to obtain the ID, what values are valid, or clarify the parameter beyond its property name and title.

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

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

The description clearly identifies a retrieval action ('Get details') and a specific resource ('a specific event format'). The word 'specific' signals a single-record lookup and distinguishes it from list_formats, though it does not explicitly name the 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?

The description implies the tool is used when you need details for one event format, especially versus list_formats for enumerating formats. However, it does not explicitly state when to use it, when not to use it, or name alternatives.

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

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

With no annotations, the description carries the full behavioral burden and does so adequately: 'Retrieve' signals a read-only operation, and the mention of download URLs adds useful output behavior. It does not discuss access restrictions or URL expiry, but the core side-effect-free behavior is transparent.

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

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

The description is a single sentence with no filler. The core action and expected output are front-loaded, and every word contributes meaning. This is an appropriate size for a simple single-parameter getter.

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 required parameter and an output schema, the description covers the essential purpose and return payload. The main missing piece is usage-context guidance, but the overall complexity is low enough that the definition is nearly complete.

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

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

Schema description coverage is 0%, so the description must compensate. It adds useful domain context by identifying the resource as uploaded media (images, banners), which clarifies what media_id refers to. However, it never explicitly explains that media_id is the identifier of the media to retrieve or describes any format constraints.

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

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

The description uses a specific verb, 'Retrieve', names the resource ('uploaded media'), and specifies the output ('details and download URLs'). It also adds media-type scope ('images, banners'), which clearly distinguishes it from sibling tools like get_media_upload_instructions.

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

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

No guidance is given about when to use this tool versus alternatives, no prerequisites are mentioned, and no exclusions are stated. The description says what the tool does but not the context in which an agent should choose it.

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

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

With no annotations, the description carries the behavioral burden. The word 'Get' and the phrase 'upload token and S3 post parameters' make clear this is a retrieval of upload instructions rather than an upload or mutation. It stops short of noting expiration or permission requirements, but those are not required for invocation.

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 short lines with no filler. The primary purpose is front-loaded, and the type values are attached as a compact, scannable parameter note.

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, has one optional parameter, and has an output schema, so the description does not need to explain return values. It covers purpose, operating context, and the parameter's allowed values. Minor missing detail such as the upload flow after obtaining the token is not critical for tool selection.

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

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

Schema coverage is 0% and the schema only defines a 'type' string with a default. The description compensates by enumerating the acceptable values ('image-event-logo', 'image-event-description'), which is the main semantic information an agent needs. It does not explicitly explain the difference between the two values, but their names are self-explanatory.

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

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

The description opens with a specific verb ('Get') and resource ('upload token and S3 post parameters') and states the end goal ('uploading an image to Eventbrite'). It is immediately distinguishable from siblings like get_media because it concerns upload instructions rather than media retrieval.

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 provides a clear context for use: an agent needing to upload an image should call this to obtain upload credentials. It does not name exclusions or alternative tools, but the tool set includes no other upload-instruction sibling, so the intended use is evident.

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

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

With no annotations, the description carries the behavioral burden; 'Retrieve' signals a non-mutating read and lists which details are returned. It does not mention authorization requirements or not-found/error behavior, but its read-only nature is clear for a simple getter.

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

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

One brief sentence, thirteen words, with the action front-loaded and no filler. Every word contributes.

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

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

Given a single required parameter and the presence of an output schema, this description is largely sufficient for invoking the tool correctly. The main missing pieces are usage guidance versus sibling list tools, which are already penalized under usage_guidelines.

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

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

Schema description coverage is 0% and the description never mentions order_id semantics, so the description adds little beyond the parameter name. However, the single required parameter is self-explanatory from its name and title, keeping the gap minor.

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: 'Retrieve details of an order' and names the returned content (purchaser info, status, financial totals). It clearly suggests a point lookup rather than a list operation, though it does not explicitly contrast with sibling order-list 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?

No guidance is given on when get_order should be chosen over list_event_orders, list_organization_orders, or list_user_orders. The singular 'an order' and required order_id imply a point lookup, but the description never states this or any exclusion conditions.

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

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

No annotations are provided, so the description must carry the full burden of behavioral disclosure. The description only states it 'retrieves' a summary, implying a read operation, but does not mention any side effects, authentication requirements, rate limits, error handling, or what happens if event IDs are invalid. The behavior is minimal and not transparent.

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

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

The description is extremely concise, consisting of two short lines. It front-loads the main action ('Retrieve sales report summary') and immediately provides key parameter details. No unnecessary words; every sentence earns its place. This is exemplary conciseness.

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

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

The tool has an output schema (context indicates has output schema: true), so return values are presumably covered by the schema. The description covers the essential input parameters (event_ids, filter_by) but lacks usage guidance and behavioral transparency. For a simple retrieval tool, it is adequate but incomplete, leaving an agent uncertain about when to use it and what to expect beyond the schema.

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

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

With schema description coverage at 0%, the description must compensate. It does add meaning by specifying that event_ids are 'comma-separated' and that filter_by can be 'event' or 'date'. However, it does not fully explain the semantics of filter_by (e.g., what filtering by date means) or provide complete parameter documentation. It adds some value but leaves gaps.

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: 'Retrieve sales report summary for one or more event IDs'. It specifies the verb (Retrieve), resource (sales report summary), and the parameter scope (event IDs). However, it does not differentiate from sibling tools like get_attendees_report, so it lacks explicit sibling 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?

There is no guidance on when to use this tool versus alternatives. The description mentions the filter_by parameter but does not explain when to choose this tool over other report tools, nor does it state any conditions or prerequisites for use. No exclusions or alternative recommendations are provided.

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

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only says 'Get details', which implies a read-only operation but does not explicitly state side effects, error handling, or what 'details' includes. The output schema exists but the description adds no behavioral context beyond the tool's name.

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 short sentence with no unnecessary words, which is appropriately concise and front-loaded. It could be slightly more informative without becoming verbose, but as written it is 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?

For a simple get-by-ID tool with one required parameter and an output schema, the description is minimally sufficient. It does not mention error conditions or any usage prerequisites, but the tool's simplicity partially compensates. However, additional context about what details are returned or how the ID should be formatted would make it more 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?

The schema has 0% description coverage for the single parameter, and the description does not compensate. It never mentions 'subcategory_id' or explains what it should be. The parameter name itself is reasonably self-explanatory, but the description adds zero value over the schema, failing to offset the lack of schema descriptions.

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

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

The description states a specific action ('get') on a specific resource ('details for a specific subcategory'), which is clear and distinct from sibling tools like list_subcategories (which lists all) or get_category (which fetches a category). It doesn't explicitly differentiate from these alternatives, but the resource name makes the purpose 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?

There is no guidance on when to use this tool versus alternatives. The description only says 'get details' with no mention of prerequisites, when not to use it, or any context that would help an agent choose between this and list_subcategories or get_category. The agent is left to infer that this is for a single known subcategory ID.

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

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

No annotations are provided, so the description must carry behavioral disclosure. It only repeats the read verb 'get' and offers no information about permissions, side effects, or error/response behavior. It does not contradict annotations, but it adds no behavioral insight beyond the name.

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

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

A single, well-structured sentence with no filler; the key information is front-loaded and easily parsed.

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 getter with one parameter and an output schema, the description is minimally adequate, but it lacks usage context and definition of what 'buyer settings' includes. The output schema covers return shape, yet the description alone would not fully prepare an agent to decide if this is the right 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 0%, and the description only says 'for an event', which merely ties the parameter to an event without explaining the expected value, format, or how to obtain it. Although event_id is a common identifier, the description does not add meaningful semantics beyond the schema's title.

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 ('Get'), resource ('ticket checkout buyer settings'), and scope ('for an event'). It clearly distinguishes from the sibling 'update_ticket_buyer_settings' through the get/update contrast.

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 update_ticket_buyer_settings or any other alternative. There is no context about prerequisites or exclusions.

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

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

No annotations are provided, so the description carries the full burden of disclosing behavior. It only says 'get details', which implies a read operation, but it does not mention return structure, error conditions, permissions, or side effects. With no annotation support, this is a notable gap.

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

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

The description is a single, concise sentence with no filler and front-loads the key verb and object. It earns its place, though it could have been slightly more informative without becoming verbose.

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

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

This is a simple read operation with two required identifiers and an output schema present, so the description does not need to explain return values. However, lacking any usage guidance or behavioral caveats leaves it only minimally complete for an agent deciding whether this is the right tool.

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

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

Schema description coverage is 0%, and the description adds no parameter-level meaning beyond the schema field names. The parameter names event_id and ticket_class_id are reasonably self-explanatory, but the tool description does not help clarify their relationship or required format, so it fails to compensate for low schema coverage.

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 action ('Get') and the resource ('details of a specific ticket class'), effectively distinguishing it from list-style siblings like list_ticket_classes by emphasizing 'specific'. It is a bit generic in not enumerating what 'details' includes, but the core purpose is unambiguous.

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

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

Usage is implied: an agent should call this when it has both event_id and ticket_class_id and wants information about a single ticket class. However, the description does not explicitly compare to alternatives such as list_ticket_classes or state when not to use it, leaving the routing decision mostly to inference.

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

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only says 'retrieve,' implying a read operation, but does not mention permissions, error cases, return format, or any side effects. The description is too sparse to inform the agent about operational 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 concise—a single sentence with no fluff—but it is under-specified. It is efficient but lacks substance; it earns its place as a basic statement but does not provide any structured or front-loaded information beyond the bare minimum.

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 getter with one parameter and an output schema, the description is incomplete. It does not describe the return value, the parameter's semantics, or any constraints. Given the many siblings, the lack of usage context makes it difficult for an agent to know when this tool is appropriate.

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

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

The schema has no description for ticket_group_id and the description does not explain its meaning, format, or how to obtain a valid ID. With 0% schema coverage, the description fails to compensate, leaving the parameter completely undocumented.

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

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

The description states a clear verb ('Retrieve') and resource ('details of a ticket group'). It distinguishes from list/create/update/delete siblings by implying a single-item fetch. However, it does not specify what 'details' include, which could be ambiguous but is acceptable for a getter.

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

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

There is no guidance on when to use this tool versus alternatives like list_organization_ticket_groups or how to obtain the ticket_group_id. No context on prerequisites or typical workflow is provided, leaving the agent to infer usage.

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

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

No annotations are provided, so the description carries the full burden. 'Retrieve' and 'public details' imply a read-only operation, but the description does not disclose authentication requirements, behavior for unknown user IDs, or any rate-limit considerations. For a tool with zero annotation coverage, this is a notable gap.

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

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

A single, front-loaded sentence with no filler. It states the action, resource, and lookup method in concise order, earning its place without any 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?

Given this is a simple read operation with one required parameter and an output schema (per context signals), the description covers the core operation adequately. Missing context around alternatives like get_current_user and error handling prevents a higher score.

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 single 'user_id' parameter. The phrase 'by user ID' essentially restates the parameter name and does not add format, example, or source guidance, providing minimal semantic value 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 uses a specific verb ('Retrieve') and resource ('public details of an Eventbrite user') and clarifies the lookup key ('by user ID'). It distinguishes from sibling get_current_user by implying any user, not the authenticated user, though it does not explicitly name alternatives.

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

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

The description clearly implies when to use the tool: when you have a specific user ID and need their public details. However, it provides no explicit guidance on when not to use it or when to prefer siblings like get_current_user, list_user_orders or list_user_organizations.

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

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

With no annotations, the description carries the burden of describing behavior. It implies a read-only operation and lists the returned fields, which is adequate for a simple getter. However, it does not mention potential errors, not-found behavior, or authentication expectations, leaving minor transparency gaps.

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

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

The description is a single compact sentence that front-loads the action and resource, then quickly lists the key returned attributes. There is no filler or redundant restatement of the tool name.

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 getter with an output schema present, the description sufficiently conveys the lookup style and the data covered. It does not mention when to prefer a listing sibling, but that gap is more about usage guidance and does not hinder correct invocation.

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

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

Schema description coverage is 0%, so the description must compensate. It reinforces that venue_id is the lookup key and that it returns the venue's details, but it adds no format, constraints, or deeper semantics. For a single self-descriptive parameter named venue_id, this is acceptable but not enriching.

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 ('Retrieve'), a resource ('details of a venue'), and the scope ('by venue ID'), and even enumerates the returned fields (address, capacity, coordinates). This clearly separates get_venue from sibling tools like create_venue, update_venue, and list_organization_venues.

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 'by venue ID' phrasing establishes the clear use case: when you already have a venue_id and need a single venue's details. It does not explicitly name alternatives such as list_organization_venues for listing all venues, but the singular-by-ID framing makes the correct selection obvious.

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

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

With no annotations provided, the description carries the full burden of disclosing behavior. It only states the action, omitting details such as pagination (despite the continuation parameter), response format, or any rate limits. The term 'standard' is ambiguous and unexplained.

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 extremely concise, but conciseness here borders on under-specification. It is a single sentence with no additional structure or detail, which is acceptable for a trivial tool but fails to leverage the opportunity to add 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 the existence of an output schema (not provided), the description could rely on it for return values, but it does not address pagination, the meaning of 'standard,' or how this relates to other category tools. Without annotations, the description is insufficient for an agent to confidently invoke this tool in a complex workflow.

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

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

Schema description coverage is 0%, so the description must explain the 'continuation' parameter, but it does not. The parameter name hints at pagination, yet the description provides no context on how to use it, leaving the agent without essential information.

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 verb 'List' and the resource 'standard Eventbrite event categories.' It distinguishes from siblings like get_category (single) and list_subcategories (sub-level) implicitly by the word 'categories,' but it does not explicitly differentiate or mention alternatives.

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 list_subcategories, get_category, or other listing tools. There is no mention of context, prerequisites, or exclusions, leaving the agent to infer usage from the name alone.

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

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

With no annotations, the description carries the full burden of disclosing behavior. It communicates that this is a read-style list operation and exposes the meaning of 'status' values, but it says nothing about pagination via continuation, the semantics of changed_since, or how results are filtered by default. These are meaningful behavioral gaps for a tool with four parameters.

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

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

The description is compact and front-loaded: the first sentence states the core purpose and return content, and the second adds the status filter values. Every sentence earns its place and there is no 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?

Although an output schema exists, the description still leaves important call semantics unexplained: how continuation works, what changed_since means, and what the default status behavior implies. For a tool with four parameters and no annotations, this is not complete enough for an agent to invoke it correctly in all intended scenarios.

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 parameter definitions. It only explains the status values; event_id is left to inference from the tool name, while continuation and changed_since receive no semantic explanation. This is only partial compensation for the schema 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 clearly states a specific action and resource: 'List attendees registered for an event' and even summarizes the returned fields ('profile, barcode, and answer fields'). This distinguishes it from sibling tools focused on organization-level attendees or event teams. The event-level scope and attendee focus are immediately recognizable.

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 scope 'registered for an event' implies when the tool should be used, but it never names alternatives such as list_event_team_attendees or list_organization_attendees, nor does it state when not to use them. It provides contextual scope but no explicit routing or exclusions.

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

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

With no annotations provided, the description must carry the behavioral burden. It correctly implies a read-only operation via 'List' but does not disclose any additional behaviors (e.g., pagination, ordering, or whether inactive questions are included). For a simple list, this is minimal but adequate.

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 with no waste. It immediately conveys the verb, resource, and scope, and the examples add clarity without bloat.

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 list tool with one parameter and an existing output schema, the description is nearly complete. It covers the core purpose and required input. The only gap is the lack of explicit differentiation from list_event_questions, but that falls under usage guidelines rather than completeness for calling the tool.

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

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

Schema description coverage is 0%, so the description must explain the event_id parameter. The description only says 'for an event', which adds little beyond the parameter's title. It does not specify the format, source, or any constraints, leaving the agent to infer from the name alone.

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 action ('List'), the resource ('standard canned questions'), and the scope ('for an event'). It also gives examples (Job Title, Company, Address) and distinguishes from the sibling list_event_questions by explicitly using 'standard' and 'canned'.

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

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

The description implies usage through the term 'canned' but does not explicitly contrast with list_event_questions or state when to use one over the other. An agent can infer that this is for built-in questions, but the guidance is not explicit.

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

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states only the basic read operation and says nothing about the pagination that the 'continuation' parameter strongly implies, nor about ordering, filtering, or the shape of repeated 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?

A single front-loaded sentence with no filler; the verb leads, and the scope qualifier 'configured for an event' adds precision without bloat. Every word earns its place.

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

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

The tool is simple (2 params, 1 required) and an output schema exists, so return-value documentation is likely covered elsewhere. However, the missing pagination guidance and zero parameter-level explanation mean an agent must infer non-trivial invocation details such as iterating with the continuation token.

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 adds nothing about either parameter. 'event_id' is self-explanatory from its name, yet the 'continuation' token's role in fetching subsequent pages is left entirely undocumented.

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 ('List'), a resource ('inventory tiers'), and a scope ('configured for an event'), making the operation identifiable at a glance. It does not explicitly distinguish itself from sibling tools such as get_event_inventory_tier or create_event_inventory_tier, though the plural 'List' verb implies a collection-read rather than a single-item get.

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

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

No guidance is given about when to choose this tool over alternatives like get_event_inventory_tier, and no exclusions or prerequisites are stated. The use case is only implicit in the name and description.

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?

There are no annotations, so the description carries the full burden of behavioral disclosure. It only says 'List', giving no information about pagination via the continuation parameter, filtering via changed_since or status, output shape, or any side effects. Some read intent is implied but not elaborated.

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 with no filler words. However, it is so terse that it omits important details, so it earns high marks for conciseness but not perfection.

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 list tool with four parameters, no annotations and no schema descriptions, the description should explain pagination and filter semantics. It only communicates scope, leaving an agent guessing about continuation and changed_since. The output schema helps with return values, but invocation semantics are still under-specified.

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

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

Schema description coverage is 0%, and the description does not explain any of the four parameters. Only 'a specific event' loosely maps to event_id; status, continuation, and changed_since remain opaque. The description fails to compensate for the absent schema documentation.

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

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

The description uses the specific verb 'List' and names the resource 'ticket orders and buyer profiles', scoped to 'a specific event'. This is clear enough to distinguish it from organization-wide or user-wide order tools, though it does not explicitly name those siblings.

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

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

The phrase 'for a specific event' implies this is the event-scoped order list, which gives some usage context. However, it does not state when to prefer it over siblings like list_organization_orders, list_user_orders, or get_order, nor does it provide exclusions.

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

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

No annotations are provided, so the description carries the full burden of behavioral disclosure, yet it only states that it 'lists' questions. It does not disclose that the continuation parameter implies paginated results, whether disabled/inactive questions are included, or what happens when the event does not exist. The behavioral profile is essentially undisclosed.

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

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

A single, front-loaded sentence with no wasted words; the verb and resource lead. It is efficient, though arguably terse given the documentation gaps it leaves open.

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

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

The output schema covers return values, but with 0% parameter coverage and no annotations to lean on, the description should have explained the continuation/pagination behavior and at least acknowledged the parameters. For a two-parameter list tool with an undocumented pagination token, the definition is incomplete.

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

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

Schema description coverage is 0% and the description mentions neither parameter. event_id is inferable from the tool's context, but the continuation parameter (a pagination token) is entirely unexplained in both the schema and the description. With zero schema coverage, the description was expected to compensate and did 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?

The description states a specific verb (List), resource (custom registration questions), and scope (for an event). The word 'custom' distinguishes it from the sibling list_event_canned_questions, and the plural 'list' contrasts with the get/create/delete question siblings. An agent can tell what this does and what it is not without opening the 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?

The scope 'for an event' implies when it applies, but the description provides no explicit exclusions or alternative routing. It does not say when to prefer get_event_question over this, nor mention list_event_canned_questions as the non-custom alternative. The usage context is fairly clear but entirely 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?

With no annotations provided, the description must carry the behavioral disclosure burden, but it only says 'List attendees...' and offers no detail about pagination via the continuation parameter, scope limits, ordering, or what data is returned. The read-only nature is implied by 'List,' but the tool's behavior beyond that basic operation is not disclosed.

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 with no filler. Every word earns its place, and it remains appropriately short for a simple list operation.

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?

Although the tool is simple and has an output schema, the description omits key context: no mention of pagination via continuation, no explanation of the event_id + team_id relationship, and no guidance on order or filtering behavior. For a no-annotation tool with 0% schema description coverage, this is insufficiently complete.

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

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

Schema description coverage is 0%, so the description must compensate, but it only clarifies that attendees belong to a 'specific team,' which maps weakly to team_id. It does not explain why event_id is required, how team and event scope interact, or what continuation means, leaving the agent to infer semantics from parameter names alone.

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

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

The description uses a specific verb and resource: 'List attendees who belong to a specific team.' This is clear and non-tautological, and the 'specific team' scope helps differentiate it from broader attendee-listing siblings like list_event_attendees or list_organization_attendees. It stops short of explicitly naming those siblings, so it doesn't fully earn a 5.

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

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

The description implies a use case (when you need attendees filtered by team) but gives no explicit guidance about when to prefer this tool over list_event_attendees or organization-level attendees, and it does not mention prerequisites like needing an existing event team. There is no when-not-to-use or alternative routing.

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

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

The verb 'List' conveys a read-only intent, and 'for an event' conveys the scope, which is useful given no annotations are present. However, the description does not disclose pagination behavior implied by the continuation parameter or any other runtime traits.

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

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

The description is a single focused sentence with no filler or redundant wording. It is concise and front-loads the main resource and scope, though it could trade some brevity for more practical 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?

For a two-parameter list operation with an output schema, the description is minimally adequate: an agent learns what to call and what event to pass. But without usage guidance, sibling differentiation, or pagination explanation, there are clear gaps for a tool with no annotations.

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 parameter meaning. It clarifies that event_id refers to the event whose teams are listed, but it leaves continuation entirely unexplained beyond its type and default.

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 ('List') and a specific resource ('group registration teams for an event'), so an agent can tell this is a listing operation scoped to an event. It does not explicitly contrast it with get_event_team or list_event_team_attendees, but the resource and scoping is clear enough.

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

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

There is no guidance about when to use this tool instead of related siblings like get_event_team, create_event_team, or list_event_team_attendees. The description implies the event-scoped usage but provides no exclusions, prerequisites, or alternative conditions.

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

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

With no annotations, the description carries the full burden of behavioral disclosure. 'List' implies a read-only operation, and the examples suggest a static enumeration, but the description does not explicitly state that it is side-effect-free, whether results are ordered or paginated, or whether it depends on any context (e.g., organization). This is adequate but minimal for a read-only list tool.

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

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

The description is a single, information-dense sentence with no filler. It front-loads the verb and resource, then provides concrete examples that enrich understanding without extra verbosity. Every word earns its place.

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

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

Given that the tool has an output schema (present but not shown) and no parameters, the description is sufficient for an agent to understand the tool's purpose. It does not explain any context like filtering or scoping, but for a simple enumeration of format types this is likely complete. The examples reduce ambiguity about what constitutes a 'format type.'

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

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

The tool has zero parameters and the schema is empty, so schema coverage is trivially 100%. The baseline for a 0-parameter tool is 4, and the description adds value by clarifying what the tool returns (event format types with examples), which goes beyond the empty schema. There are no parameter ambiguities to resolve.

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

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

The description uses a clear verb ('List') and a specific resource ('event format types') with concrete examples (Conference, Expo, Seminar, Networking). This unambiguously distinguishes it from sibling tools like get_format (singular) and list_categories (different resource), so an agent can select it correctly without opening the 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?

No guidance is given on when to use this tool versus alternatives. The sibling list includes get_format, which retrieves a single format, but the description does not mention that relationship or any context such as 'use this to populate format dropdowns.' The agent is left to infer that this is the plural counterpart.

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