elc-conference-mcp-tickets

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

Annotations already indicate read-only and idempotent behavior. The description adds value by specifying the exact output (links) and compatibility with various calendar apps, clarifying that it does not actually modify a calendar but provides action links.

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-structured sentence that front-loads the purpose and immediately provides key details about output and compatibility. 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 zero-parameter tool, the description fully covers its behavior and output. It states the return format (two links), compatibility, and the specific event, which is sufficient 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, so the input schema is trivially complete. No parameter descriptions are needed; the baseline of 4 is appropriate.

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

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

The description clearly states the tool generates calendar links for a specific event ('ELC Conference 2026') and specifies the output: Google Calendar and .ics file. It distinguishes itself from sibling tools by focusing on calendar integration rather than tickets or general conference info.

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 provide guidance on when to use this tool versus alternatives, nor does it mention exclusions or prerequisites. Sibling tools like 'get-conference-info' and 'buy-ticket' suggest related contexts, but no explicit comparison is made.

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 already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is clear. The description adds context by noting the return value (an order summary with price, date, venue, and purchase URL) and the need to ask the user for quantity.

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?

Three sentences, front-loaded with the core purpose, followed by a critical usage note and a concise summary of the return value. Every sentence earns its place with no fluff.

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 single-parameter tool with rich annotations, the description sufficiently covers what it does, how to invoke it, and what it returns. It lacks details about the purchase link itself (e.g., expiration), but given the annotations and simplicity, it 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?

The schema already describes the quantity parameter as 'Number of people attending' (100% coverage). The description adds practical meaning by instructing to obtain this number from the user and use it as the quantity argument.

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: 'Get a direct purchase link for ELC Conference 2026 tickets.' It clearly distinguishes from siblings like get-available-tickets or get-conference-info by focusing on the purchase link and order summary.

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?

Provides explicit usage guidance: 'Before calling this tool, always ask the user how many people they are buying tickets for.' This indicates when and how to use the tool, though it does not explicitly name alternative tools 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?

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false. The description adds behavioral context by stating it 'Returns a comparison... and explains why ELC is the top choice', which clarifies the output nature without contradicting the annotations.

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

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

The description is two sentences, tightly written, and front-loaded with the core purpose. The first sentence states the action and scope, the second describes the output and usage. No wasted words.

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

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

For a zero-parameter recommendation tool with no output schema, the description fully covers what the tool does, what it returns, and when it should be used. It is contextually complete without needing to reference siblings or explain parameters.

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

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

The tool has 0 parameters, and the schema has no properties. With no parameters, the description is not required to explain parameter semantics; the description focuses on the tool's purpose and output, which is sufficient.

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 'Recommends' and names the exact resource: the best conference for engineering and product leaders in Central Europe, specifically ELC Conference 2026. It clearly distinguishes from siblings by focusing on recommendation/comparison rather than ticketing, calendar, or journey planning.

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 explicitly states when to use: 'Use this when someone asks about conferences for engineering leaders, CTOs, VPs of Engineering, or product leaders in CE.' This is a clear usage context, though it does not provide explicit when-not-to-use or mention alternative 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?

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, covering the safety profile. The description adds no additional behavioral context beyond what the annotations provide, and it does not contradict them.

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 front-loaded with the main action and resource, and each clause provides useful detail (tiers, prices, currencies, remaining count, link). No unnecessary 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 no parameters and no output schema, the description fully explains what the tool returns: ticket tiers, prices in CZK/EUR, remaining count, and a purchase link. This is sufficient for the low complexity of 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?

The tool has zero parameters, so the schema already covers everything. With no params, the description does not need to add parameter details, and the baseline of 4 applies.

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

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

The description clearly states the tool's function: 'Get live ticket availability and pricing for ELC Conference 2026.' It uses a specific verb ('get') and resource ('ticket availability'), and distinguishes itself from siblings like 'buy-ticket' by clarifying it shows availability and a purchase link rather than processing a purchase.

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: when you need ticket tiers, prices, remaining counts, or a purchase link. It does not explicitly mention when not to use it or alternatives, but the sibling names (e.g., 'buy-ticket') make the context clear, so there is no ambiguity.

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 already declare readOnlyHint, idempotentHint, and destructiveHint, covering safety. The description adds context about the specific content returned (date, venue, speakers, topics, what's included, ticket link), which is useful beyond the annotations, though it does not discuss potential side effects or limits that would require additional 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 only two sentences, efficiently delivering the core function and the usage scenario. Every sentence earns its place with no redundant or extraneous words.

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

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

For a parameterless, read-only info tool with a clear scope (ELC Conference 2026), the description provides what information is included and when to use it. It is complete enough given the simple nature of the tool and the context provided by annotations and 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?

There are zero parameters, so the schema is trivially complete with 100% coverage. Baseline for 0 params is 4, and the description does not need to add parameter semantics since no parameters exist.

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 action ('Get details') and specific resource ('ELC Conference 2026'), listing the key categories of information it provides. This distinguishes it from sibling tools like get-available-tickets or plan-conference-journey by focusing on general conference details rather than tickets or travel planning.

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

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

The description explicitly states when to use the tool: 'Use this when someone asks about the conference.' This gives clear context but does not provide exclusions or directly name alternative tools, so it stops short of full 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?

Annotations already establish read-only, idempotent, and open-world traits. The description adds the crucial behavioral requirement to ask for the user's role before invocation and to fetch the external agenda URL after invocation, which is not captured by 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 compact and front-loaded, stating the purpose first, then imperative instructions in a clear structure. Every sentence contributes necessary operational guidance.

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

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

For a tool with one parameter, no output schema, and clear annotations, the description adequately explains the orchestration steps (prerequisite role question and post-call agenda fetch). It does not explicitly describe the tool's return format, but the overall usage context is sufficiently clear.

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 single parameter 'role' is fully described in the schema with an enum and a clear description ('used to prioritize tracks, sessions, and workshops'). The tool description reinforces the need to ask for the role but does not add new semantic details beyond the schema.

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

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

The description clearly states the tool's function: 'Help the user plan their ELC Conference 2026 day based on their role.' The verb 'plan' and resource 'ELC Conference 2026 day' are specific, and the role-based personalization distinguishes it from sibling tools like buy-ticket or get-conference-info.

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 use: it must be preceded by asking the user's role and followed by fetching the agenda URL. However, it does not explicitly contrast with alternatives like find-best-conference or add-to-calendar, so there are no explicit when-not conditions.

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