Vikenda — what's on in Niagara-on-the-Lake

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

No annotations are provided, so the description must bear the burden. It mentions returning full detail and booking URL, but omits any side effects, authentication needs, or error cases. For a read operation, it is minimally 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, well-formed sentence that is front-loaded with the key action and result. No 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?

Given the simplicity (2 params, no output schema), the description is adequate but minimal. It does not mention return format or potential errors, but the context suggests a straightforward get operation.

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 context that `id` can be an id or slug, and explains `area` with an example. Since schema coverage is 50% (area described, id not), the description compensates well.

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 it returns full detail for one event including booking URL, using a public id or slug. This differentiates it from siblings like search_events (multiple) and get_venue (different resource).

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 use when needing a single event's detail, but does not explicitly exclude scenarios or mention alternatives. Sibling names exist but are not referenced.

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 bears full responsibility for behavioral disclosure. It does not mention that the operation is read-only (likely safe), nor does it describe any side effects, response behavior, or required permissions. 'Full detail' gives no behavioral specifics.

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, front-loading the key purpose. It earns its place with no wasted words. However, it sacrifices informativeness for brevity; a slightly longer description could add value without harming 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?

Given no output schema, the description should hint at the return structure. 'Full detail' is vague and does not clarify what fields or information are included. For a simple retrieval tool, this lacks essential context for the agent to anticipate the tool's output.

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 50% (area has a description, id does not). The description 'by id' adds no semantic meaning beyond indicating the id parameter's role. It does not explain id format, where to obtain it, or clarify the area parameter further. The description fails to compensate for the parameter documentation 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 'Full detail for one venue by id.' clearly states the action (get), resource (venue), and method (by id). It distinguishes from sibling tools like get_event and search_events which target different resources. However, 'Full detail' is somewhat vague and could be more specific.

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 vs alternatives. There is no mention of prerequisites, conditionals, or exclusions. The description only states the basic function, leaving the agent to infer usage context from the tool name and 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 bears full responsibility. It states 'Heuristic itinerary' implying an approximate algorithm but does not disclose limitations, such as whether results are recommendations or bookings, or if it covers all available events. Critical behavioral traits like non-determinism or lack of reservation capability are 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, making it concise. However, it uses jargon ('Heuristic itinerary') that may confuse agents and lacks front-loading of the primary action. Still, it is not 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?

With 4 parameters and no output schema or annotations, the description is incomplete. It does not specify the return format (list of venue IDs? object with time slots?), whether the tool books anything, or how conflicts are resolved. A planner tool needs more context on its operational scope and output.

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?

Parameter description coverage is 100% via schema, so the baseline is 3. The description does not add extra semantic meaning beyond the schema, e.g., it mentions 'morning/afternoon/evening picks' but doesn't map these to parameters like 'window' or 'interests'. It adds no new value over the 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 'Heuristic itinerary: morning/afternoon/evening picks matching interests within a window' clearly indicates the tool generates an itinerary divided into time slots based on interests. It distinguishes itself from siblings like get_event or search_events by focusing on creating a multi-part plan rather than retrieving individual events. However, it could be more explicit with a verb like 'Creates'.

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 search_events or whats_on. Sibling tools are listed but no exclusions or context for selection are given.

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. It discloses useful behavioral traits: typo-tolerant search, current geographic limitation (Niagara-on-the-Lake), and the domain scope (things-to-do calendar). It does not cover return format, pagination, or error behavior, but the disclosed traits are significant and add value beyond the input schema.

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

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

The description is two sentences with no wasted words. The first sentence front-loads the core purpose and key attributes (location, content types, typo tolerance, date range), and the second sentence adds a crucial disambiguation. Every phrase contributes to understanding the tool's 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?

For a search tool with five parameters, no annotations, and no output schema, the description provides a solid overview: it clarifies the domain, scope, and key capabilities. It lacks explicit guidance on result format or pagination, but the overall context is sufficient for an agent to select and invoke the tool appropriately in most cases.

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

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

Schema description coverage is only 40%, with query and area having explicit descriptions. The description adds semantics for the date-range parameters (to/from) by mentioning 'optional date range' and clarifies query behavior via 'typo-tolerant.' However, it does not explain the limit parameter or provide any format details for from/to, leaving gaps that the schema does not fill.

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 searches real-world local events, with specifics on content types (live music, theatre, etc.) and a key differentiator: it's for things-to-do, not system event logs. This distinguishes it from sibling tools like get_event or whats_on.

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

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

The description provides clear context for when to use this tool: searching for local, real-world events with keyword and optional date range. It explicitly clarifies it is not a software/system event log, which helps avoid misuse. However, it does not explicitly name alternatives like 'use get_event for details' or 'use whats_on for current listings,' though sibling names imply these.

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?

Despite no annotations, the description discloses key behaviors: sends a confirmation email and records consent only on confirmation. This provides good transparency beyond basic purpose.

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

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

Two efficient sentences with no redundancy. The action is front-loaded, and every word adds value.

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

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

For a tool with 3 parameters and no annotations, the description covers the core process but lacks details on parameter usage (e.g., interests) and edge cases (e.g., duplicate subscriptions). Adequate but not comprehensive.

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 only 33% with only 'area' having a description. The description does not add meaning for 'email' or 'interests' parameters, failing 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 tool starts a double-opt-in email subscription, specifying the verb 'start' and resource 'email subscription'. It distinguishes from sibling tools which focus on events/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 description implies use for initiating email subscriptions but does not provide explicit guidance on when to use vs alternatives or any exclusions. Adequate but lacks depth.

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 but only partially: it discloses the output type (ranked list + prose summary) and scope limitation ('covered areas'), but does not mention data freshness, ranking criteria, or any side effects. It adds some context but is not rich behavioral disclosure.

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

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

The description is two sentences, front-loaded with the main purpose, then a usage statement. Every phrase adds value—ranking, prose summary, current area, and the targeted question type—with zero 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?

For a read-only discovery tool with six parameters and no output schema, the description gives enough context on scope, output, and the kind of question it answers. It could mention budget/audience filtering or more explicit behavior, but it is sufficiently complete for invocation decisions.

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

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

Schema coverage is 50%, so the description should compensate but only partially does. It relates 'time window' to the window parameter and lists example categories (theatre, concerts, tastings, festivals, tours) but leaves budget and audience unexplained, relying on their self-evident enums/names.

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 provides 'Things to do in the covered areas' with 'ranked local happenings' and a 'citation-ready prose summary,' making the purpose unmistakable. It also differentiates from siblings like search_events by emphasizing ranking and prose output for 'what's on' questions.

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

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

Explicitly instructs to 'Use this to answer "what's on / what should I do" questions about an area,' which provides a clear when-to-use signal. It does not name alternatives or state when not to use it, so it lacks the full 'when-not/exclusions' guidance for a 5.

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