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 disclosing behavioral traits. It only states 'create a new OneNote notebook' without mentioning side effects, permissions, default storage location, or whether the operation is idempotent. This is minimal and lacks the context an agent might need 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 exactly one sentence with no filler or redundancy. Every word contributes to the meaning, and the action verb is front-loaded. Perfectly concise for a tool with one parameter.

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 parameter, fully documented schema), the description is minimally adequate for invocation. However, it omits the return value or any side-effect context such as where the notebook is created. An agent could call it correctly, but would lack context about the expected result or potential errors.

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 for the single parameter displayName is 100%, so the schema fully documents the parameter meaning. The description adds no additional semantic nuance beyond what the schema already provides. A baseline score of 3 is appropriate due to high 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 states a specific verb 'create' and a clear resource 'OneNote notebook', immediately distinguishing it from sibling tools like create_section and create_page by target hierarchy level. Even without the tool name, the 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 instead of e.g., create_section or create_page. There are no explicit when-to-use scenarios, preequisites, or alternatives mentioned. The only implied usage is the basic action of creating a notebook.

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 behavioral burden. It communicates that this is a mutating creation operation, but it does not disclose side effects, idempotency, permission requirements, or return behavior. It is not misleading, but it is 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 clear sentence with no filler or repetition. It is front-loaded and efficient, earning every word.

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 create tool, the schema and description allow basic invocation. However, there is no mention of the return value, the requirement that the target section already exists, or any error behavior, and there is no output schema to fill those 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 100%, so both parameters are already documented in the schema. The description does not add meaningful parameter semantics beyond the phrase 'in a section', so the baseline of 3 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 action ('Create'), the resource ('a new page'), and the location ('in a section'). It differentiates from sibling tools like create_notebook and create_section by the explicit resource type and container.

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 intended use is implied: use this when a new page must be added to a section. However, it does not explicitly say when to choose this over create_section or create_notebook, nor does it mention prerequisites such as requiring an existing section.

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 create action and does not mention side effects, idempotency, prerequisite notebook existence, duplicate behavior, or return value.

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 direct sentence with no wasted words. It is front-loaded and immediately understandable.

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 create operation with fully documented schema, the description is minimally sufficient to invoke the tool. However, there is no output schema and no information about response format or edge-case behavior, leaving some contextual 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 already documents both parameters fully with descriptions covering 100% of the parameters. The description adds nothing beyond the schema, so the baseline score of 3 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 uses a specific verb and resource: 'Create a new section in a notebook.' It clearly distinguishes this from sibling tools like create_notebook, create_page, and list_sections.

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 intended use is implied by the purpose: use it when creating a section in a notebook. However, it provides no explicit guidance about when not to use it or how it compares to create_page or other 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?

With no annotations, the description carries the transparency burden. It clearly communicates a read-only listing operation with no filtering, which is useful. However, it does not disclose return format, authentication needs, or ordering/pagination 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?

One clean, front-loaded sentence with no fluff. 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, low-complexity listing tool, the description is adequate for selection and invocation. It omits return-field details and does not connect the result to downstream sibling calls, but these are minor gaps for this simple tool 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 schema shows zero parameters and 100% coverage, so there are no parameter semantics to explain. Baseline 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?

States a specific verb and resource: 'List all OneNote notebooks'. Clearly distinguishes from siblings like list_sections and list_pages, which target lower-level resources.

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 guidance or mention of alternatives. The phrase 'List all' implies this is the entry point for enumerating notebooks, and sibling names suggest the hierarchy, but that is implicit rather than 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 says 'List pages' and does not mention what is returned (page metadata vs. content), ordering, pagination, or any side effects. This is a minimal operational statement rather than a transparent 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 a single, focused sentence with no filler. Every word contributes to the meaning, and the core action and scope are 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 one required parameter, and the schema covers that parameter fully. However, there is no output schema and no description of what 'pages' means in the response, so the agent must infer the return shape and behavior from the tool name alone.

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 100%, and the sectionId parameter is already described as 'The ID of the section.' The description's 'in a section' adds slight contextual confirmation but no substantive meaning 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 verb ('List'), the resource ('pages'), and the scope ('in a section'). This distinguishes it from sibling tools like list_notebooks and list_sections, which are about different resources.

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 'in a section' makes the usage context clear: this tool is appropriate when the agent has a specific section and wants its pages. It does not explicitly compare itself to alternatives or state when not to use it, so it falls just short of a 5.

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 for behavioral disclosure. It accurately describes a read-only listing operation, but does not disclose any potential behaviors such as whether only top-level sections are listed, ordering, pagination, or whether empty notebooks return an empty list. Since the operation seems simple, a 3 is fair.

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 short, clear sentence that communicates the primary purpose without redundancy. It is appropriately minimal, though it could add a brief note about usage context without much cost.

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 operation with one required parameter fully described in the schema, the description is mostly complete. However, absence of any behavior details (e.g., what constitutes a section, whether nested sections are included) and no output schema means the agent has minimal expectations beyond the call itself. It is 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?

The schema description coverage is 100%, with notebookId described as 'The ID of the notebook'. The description does not add further parameter semantics, but the schema already sufficiently explains the only parameter. Baseline 3 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 'List sections in a notebook' states a clear verb ('List') and resource ('sections in a notebook'), distinguishing it from sibling tools like list_notebooks and list_pages. It could be slightly more explicit about the notebook context, but it is readily understandable.

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 a user wants to enumerate sections within a specific notebook, and the required notebookId parameter confirms this. However, it does not explicitly state when to use this tool versus list_pages or read_content, leaving some inference to the agent.

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 transparency burden. It does signal a non-destructive read and specifies the resource type (HTML content), which is useful. However, it does not disclose any additional behavioral traits such as whether the full HTML document is returned, error handling, or authentication/rate-limit implications. For a simple read tool 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 sentence with no filler. The operation (read) and the resource (HTML content of a page) are front-loaded, and every word contributes to the agent's understanding.

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-required-parameter read tool with no output schema, the description is nearly complete. It communicates what the tool does and what it returns ('HTML content'), which is sufficient for an agent to invoke it correctly. The main gap is a lack of explicit response format or edge-case context, but the tool's low complexity makes this 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 description coverage is 100%; the pageId parameter is described as 'The ID of the page'. The tool description adds no extra meaning about the parameter beyond what the schema already states, so the 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 'Read the HTML content of a page' uses a specific verb and resource, clearly distinguishing itself from sibling tools like list_pages (which lists pages) and create_page (which creates pages). It states exactly what operation the tool performs without ambiguity.

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 intended use is implied: use this tool when you need the HTML content of a specific page. However, it does not explicitly contrast it with list_pages or mention that a pageId is typically obtained from a listing operation first. No exclusions or alternative routing are provided, leaving usage to inference.

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