AI Capability Rollout Framework

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

With no annotations provided, the description carries full behavioral burden. It explicitly discloses 'Read-only, no authentication required' and clarifies the return is limited to 'stage name and recommendation text only' without a numeric score or breakdown. This is more transparent than many tool descriptions; a small gap is not describing potential error handling or timeout behavior, but that is not essential.

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 and front-loaded with the primary purpose. The first sentence states the action and expected result; the second gives the procedural requirement and output constraints. There is zero redundancy and 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 complex (16 required parameters, no output schema, no annotations), yet the description covers the complete workflow: how to gather answers, what to pass, and what to expect in return. It also specifies read-only and no authentication, which an agent needs to know before invoking. Nothing critical is missing for correct usage.

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

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

Schema coverage is 100% and each parameter (q1–q16) includes a full question text and rating scale (1–5). The description adds no per-parameter meaning beyond what the schema already provides; it only references 'rate each response 1-5', which is consistent with the schema. Baseline 3 is appropriate.

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

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

The description clearly states the action ('Run'), the specific resource ('AI Capability Rollout Framework's 16-question AI Readiness Score assessment'), and the outcome ('return their readiness stage with a recommended next step'). It uniquely identifies this tool as the assessment tool among siblings like get_faq and get_pricing, which are unrelated.

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

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

The description provides explicit usage context: the agent must first ask the user the 16 questions or use existing answers, then call the tool with all 16 responses. It does not explicitly exclude alternatives, but the context is clear and unambiguous. Lack of an explicit 'use when' statement is minor given the distinct purpose.

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 behavioral disclosure burden. It does add value by stating 'Read-only, no authentication required' — facts that would normally live in annotations. However, it omits other behavioral traits such as return format, how many items are returned, and error behavior, and its read-only claim is not corroborated by any annotation since none exist.

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 establishes the verb, resource, and scope immediately, followed by the relevant read-only/no-auth facts. No wasted words. It is efficiently sized, though it could have traded a little length for sibling 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 simple tool with one optional parameter, 100% schema coverage, and clear purpose, the description is reasonably complete. It covers purpose and safety posture. The main gap is that with no output schema present, the description doesn't describe the return structure — but for a basic FAQ retrieval tool this is a minor omission.

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

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

Schema coverage is 100%, with the topic parameter fully documented including the allowed categories and free-text fallback behavior. The description's mention of 'pricing, governance, and implementation topics' slightly reinforces the schema categories, but the heavy lifting is done by the schema itself. Baseline 3 is appropriate since the description adds marginal meaning beyond an already-complete 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+resource ('Get frequently asked questions') about the AI Capability Rollout Framework with topic scope (pricing, governance, implementation). It's clear and distinguishable from siblings like get_framework_overview, but it doesn't explicitly differentiate itself from get_pricing or search_knowledge_base, which have obvious overlap given the pricing and free-text search coverage. Clear but sibling differentiation is incomplete.

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 offers no guidance on when to use this tool versus its alternatives. With siblings including get_pricing (which overlaps on pricing topics), search_knowledge_base (which overlaps on free-text question search), and get_framework_overview, an agent gets no routing help from the description. The only usage hint ('no authentication required') is a prerequisite note, not a selection criterion.

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 explicitly states 'Read-only, no authentication required,' which discloses the safety profile and access requirements. It also describes the returned content, giving the agent a clear expectation of what the tool provides without needing a separate output 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 a single, efficient sentence that front-loads the tool's purpose and then adds the behavioral note. There is zero waste—every clause contributes meaning. 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?

For a zero-parameter, read-only tool with no output schema, the description fully covers what the tool does, what it returns, and its access constraints. Nothing an agent needs to decide whether to call it or interpret its result 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?

The tool has zero parameters, so the baseline is 4. The description adds no parameter details because none exist, and the schema is already complete with an empty object. No additional semantic information is needed.

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

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

The description states a specific verb ('Get'), a specific resource ('AI Capability Rollout Framework'), and enumerates the exact content (three implementation phases, four capability pillars, core positioning statement). This clearly distinguishes it from siblings like get_faq or get_pricing, which serve different knowledge domains.

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 purpose is so specific that the use case is obvious—any agent needing framework overview would select this. However, it does not explicitly mention alternatives or exclusion conditions. The clarity of context without exclusions aligns with a 4, though a 5 would require explicit 'use when' 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?

With no annotations provided, the description carries the full burden and discloses 'Read-only, no authentication required,' which is meaningful behavioral context. It also notes prices and 'current' data. It does not describe response shape or caching, but none are needed for a simple read-only info 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, front-loaded sentence that immediately states the resource, then adds the product specifics and access constraints. 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 zero-parameter, no-authentication read-only tool with no output schema, the description fully equips an agent to select and invoke it. It states exactly what will be returned pricing and checkout URLs and for which products.

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 baseline is 4. The description adds product-level detail ($99 one-time and $24.99/user) beyond the empty schema, giving the agent useful context even though 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 names a specific verb ('Get'), a precise resource ('current pricing and checkout URLs'), and explicitly identifies the two products covered. It is clearly distinguishable from siblings like get_faq and get_framework_overview.

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: use this tool when pricing or checkout URLs for the named products are needed. It does not explicitly name alternative tools or state when not to use it, so it misses the top score but is still unambiguous.

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 states that the tool returns matching sections with links to the full source document, which conveys the core behavior. However, it does not mention potential limitations such as exact vs. fuzzy matching, result limits, pagination, or the read-only nature of the operation.

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 front-loads the action and subject, includes the scope of the knowledge base, and specifies the return value. There is no redundant or filler content, making it highly efficient and well-structured.

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

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

Given the tool's simplicity (one parameter, no output schema, no annotations), the description adequately covers the input and expected output (matching sections with links). It does not mention result ordering or limits, but for a search tool of this scope those are relatively minor omissions. The description is largely complete for an agent to understand and invoke 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 schema covers 100% of the single parameter 'query' with the description 'Keyword or phrase to search for.' The tool description reiterates this same phrase but adds no extra detail about formatting, constraints, examples, or edge cases, so it only meets the baseline for schema-covered 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 uses a specific verb ('Search'), names the resource ('AI Rollout Framework knowledge base'), and defines the scope (methodology, definitions, positioning, changelog). It clearly distinguishes itself from siblings like get_faq and get_framework_overview by representing a general search across the knowledge base rather than a specific retrieval 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?

The description implies when to use the tool (when searching for a keyword or phrase anywhere in the knowledge base) but does not explicitly state when to prefer it over siblings or what exclusions apply. There is no mention of alternatives, so the agent must infer selection logic from the tool's purpose alone.

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