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 the action without mentioning result format, pagination (e.g., size parameter), or any limitations. The 'browse' phrasing suggests a read operation, but no specifics are given.

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 front-loaded with the action. It is concise but includes imprecise category examples that could be removed without loss of 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?

Given the low complexity, the description is too sparse. It lacks any mention of output structure, sorting, or interaction with the size parameter. Moreover, the absence of usage guidance relative to siblings makes the tool contextually incomplete for an agent selecting among similar 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 schema covers 'city' and 'category' with descriptions, and the tool description adds examples of categories, though these are inconsistent with the enum. The 'size' parameter has no description in schema or description, leaving one parameter semantically undocumented. The description adds marginal value but does not fully compensate for the missing size semantics.

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

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

The description uses the verb 'browse' and specifies the resource 'events in a city filtered by category,' making the core purpose clear. It distinguishes from siblings like search_events and get_event_details by focusing on category-based browsing. However, the example categories (Family, Comedy) don't match the actual enum values, introducing minor confusion.

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 sibling tools such as search_events or weekend_events. The description implies usage for browsing by category, but there is no explicit exclusion or alternative mention, leaving the agent to infer the appropriate 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?

With no annotations, the description must carry the full burden of behavioral disclosure. It only says 'Get full details' without specifying what those details include, any error behavior (e.g., invalid ID, not found), authentication requirements, or response format. This lack of extra behavioral context beyond the tool's name 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, front-loaded sentence with no filler or redundancy. Every word contributes to explaining the tool's purpose, making it both concise and well-structured.

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

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

The tool is relatively simple (1 parameter, no output schema), and the description covers the basic purpose. However, it lacks contextual details about the returned content ('full details' is vague), error conditions, or how this differs from the sibling search tools. Given the low complexity, the description is minimally viable but has clear gaps that would benefit from elaboration.

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 already describes the only parameter 'eventId' as 'Ticketmaster event ID' with 100% coverage. The description adds no additional meaning beyond rephrasing the schema ('using its Ticketmaster event ID'), so the schema does the heavy lifting. Baseline of 3 is appropriate since there is no added semantic value.

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 'Get full details for a specific event using its Ticketmaster event ID,' which clearly identifies both the action (get details) and the resource (a specific event). This distinguishes it from sibling tools like search_events or events_by_category, which focus on listing or filtering events rather than retrieving a single event's full details.

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 you have a specific event ID and need full details, but it does not explicitly state when to use it over the sibling tools or provide any when-not-to-use guidance. The context is clear but unstated, so the usage guidance is only 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?

With no annotations provided, the description carries the burden of behavioral disclosure. It does add value by specifying that results include upcoming events with dates, venues, prices, and ticket links. However, it does not explicitly state read-only behavior, potential limitations, or response structure beyond the listed fields, which would be expected given no annotations.

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

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

The description is a single, concise sentence that efficiently covers purpose and return content. No wasted words, and the most important information (searchable fields and output components) is front-loaded.

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

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

The tool is simple, with three parameters and a clear return description, and the absence of an output schema is partially mitigated by the return-content statement. However, the lack of any usage guidance or differentiation from sibling tools leaves a gap in contextual completeness. An agent cannot determine when to prefer this over events_by_category or weekend_events.

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 100% coverage with clear descriptions for each parameter. The description's mention of 'city or keyword' partially aligns with the schema but adds no additional semantic detail beyond what the schema already provides. Baseline of 3 is appropriate.

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

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

The description clearly states the verb 'search' and the resource 'local events', and specifies the search attributes (city or keyword). It also indicates what is returned (upcoming events with dates, venues, prices, ticket links). While it doesn't explicitly contrast with sibling tools like events_by_category or weekend_events, the scope is clear enough to be differentiated.

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 does not mention events_by_category, weekend_events, or get_event_details, nor does it provide exclusions. Usage is only implied by the tool's name and search-based functionality.

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 must carry behavioral disclosure alone. It only says 'Find events' and does not mention result limits (size parameter), ordering, pagination, or any side effects. The existence of the size parameter and its impact on results is entirely 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?

The description is one short sentence that is front-loaded with the main action and contains zero unnecessary words. It is appropriately sized for 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?

For a simple two-parameter tool with no output schema, the description covers the core action but leaves notable gaps: it does not state the return format, the effect of the size parameter, or how results are ordered. It is minimally viable but lacks detail needed for full comprehension.

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 describes city but not size, and the tool description adds no semantics for either parameter. The size parameter, with its default of 8 and maximum of 20, is completely unexplained, and the description only reinforces the city parameter's basic meaning already present in the schema.

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

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

The description clearly states the tool's purpose with a specific verb ('Find'), resource ('events'), and scope ('this weekend' in a given city). It distinguishes from siblings by the weekend-specific focus, which is not present in search_events or events_by_category.

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 weekend-specific event lookups, but does not explicitly contrast with alternatives like search_events or events_by_category. There is no 'when not to use' guidance, leaving the timing of choosing this tool over siblings implicit.

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