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

With no annotations, the description carries the full burden. It does disclose real behavior (content lands as a new outline block at the bottom of the page) and the supported HTML tag subset, which is valuable. It omits permissions/auth requirements, reversibility, failure modes, and whether appends are idempotent.

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?

Front-loaded with the core action and placement semantics before the tag list, and the Args block is compact. The tag enumeration is slightly list-heavy but earns its place by defining valid input.

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?

An output schema exists, so return values need not be explained, and the two required params are covered. What's missing for a mutation tool is sibling differentiation and any behavioral/authorization caveats that the absent annotations leave unstated.

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 0%, so the description must supply all parameter meaning, and it does document both: page_id with its source (list_live_pages) and content as an HTML string. It could add more on accepted HTML constraints or size limits, but it compensates well for the empty 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?

States a specific verb (append) and resource (existing OneNote page), making it clear this adds content rather than reading or creating. It does not, however, differentiate itself from the sibling update_page_content, which an agent must choose between.

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 by noting the page must already exist and pointing to list_live_pages as the source of the page ID, which is genuinely useful routing. It offers no explicit when-to-use vs. update_page_content or create_page, and no 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?

With no annotations, the description carries the full burden, and it does disclose one meaningful environmental trait: the OneNote desktop app is required. However, it says nothing about failure modes (missing section/notebook), permissions, or whether a duplicate title is allowed, leaving key behavioral questions unanswered.

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?

Purpose is front-loaded in sentence one, followed by format documentation and prerequisites, with the Args block last. The tag list and font-size table are verbose but earn their place by defining valid content input; nothing is duplicated 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?

An output schema exists, so return values need no explanation, and the description covers the input contract plus the desktop-app prerequisite. For a no-annotation creation tool it is nearly complete, missing only error/duplicate handling behavior.

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 0%, so the description must compensate, and it does: the Args block documents all four parameters, notes that notebook_name comes from list_live_notebooks, and defines content as HTML. section_name and title get only bare restatements, so it is strong but not exhaustive.

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 first sentence states a specific verb and resource ('Create a new page in a OneNote notebook section'), and 'new page' naturally contrasts with siblings like append_to_page and update_page_content. It is clear without opening the schema, though it never names those siblings explicitly.

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?

Usage is implied rather than stated: creating a new page versus appending to or updating one is left for the agent to infer from sibling names. The only routing hint is that notebook_name comes 'from list_live_notebooks', which is a parameter-sourcing note, not a when-to-use rule.

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 disclose behavioral traits. It mentions the tool 'gets' a summary, implying a read operation, but does not discuss auth requirements, side effects, or rate limits. The output schema exists but the description adds no behavioral context beyond the 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?

The description is short and front-loaded with the purpose. It includes an Args section but lacks additional guidance or behavioral notes. It is concise but omits useful information, balancing efficiency with completeness.

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 has a simple input (one parameter) and an output schema, so the description need not explain return values. However, it misses usage guidelines and behavioral transparency. The description is adequate for minimal understanding but incomplete for effective tool use.

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 only parameter is notebook_name, and the description merely restates its name: 'The name of the notebook.' Schema description coverage is 0%, and the description adds no format, examples, or constraints beyond what the schema title already conveys.

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: 'Get a summary of a notebook: its sections and a preview of each section's content.' It uses a specific verb and resource, and distinguishes from sibling tools like list_notebooks, list_sections, and read_section by specifying it returns a 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?

The description provides no explicit guidance on when to use this tool versus alternatives. It does not state when not to use it or mention alternative tools like read_section for full content. The usage context is implied but not clarified.

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 present, so description bears full weight. It states the action but doesn't discuss potential pagination, performance, or whether it retrieves all data at once. Adequate for a simple read 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?

Two focused sentences, no fluff. Perfectly concise for the simple tool.

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 (no params, output schema present), the description covers the essential context. Could mention potential large payloads, but overall complete enough.

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?

No parameters, so schema coverage is trivial. Description adds value by clarifying the scope ('ALL notebooks'), ensuring the agent knows it's a global operation.

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?

Clearly states 'List ALL sections across ALL notebooks' with a specific verb and resource. Distinguishes from sibling 'list_sections' by emphasizing the global scope.

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 a use case ('useful for getting a complete overview') but does not explicitly mention when to avoid or compare with similar tools like list_sections.

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?

The description discloses it uses the OneNote COM API and shows notebooks currently open in the desktop app, including sections. Without annotations, this provides adequate behavioral context, though it could mention that it only shows live notebooks, not cloud-only ones.

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 short sentences, front-loaded with the main purpose in the first sentence, followed by a contextual sentence. Every sentence adds value without redundancy.

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 has zero parameters, an output schema exists (so return values are documented elsewhere), and the description includes relevant context about COM API and live notebooks, it is fully sufficient for the agent to use 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?

There are zero parameters, so schema description coverage is 100%. The description does not need to add parameter information, and it provides baseline value by clarifying the tool's purpose.

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 lists live notebooks from the running OneNote app, distinguishing them from backup files, and notes it includes sections. This provides a specific verb and resource, differentiating it from siblings like list_notebooks.

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 says 'Use this to find where to create new pages,' giving a clear use case. However, it does not mention when to use alternatives like list_notebooks or get_notebook_summary, nor does it state when not to use this tool.

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 convey behavioral traits. It mentions 'from the running OneNote app,' which implies the app must be active, but it does not disclose whether the operation is read-only, what happens if the notebook or section doesn't exist, or any rate limits or destructive potential. The description lacks sufficient behavioral context for safe invocation.

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 short and includes a clear primary statement followed by a use case, which is good. However, the Args section is redundant because it merely restates parameter names without additional detail. Removing or enriching that section would improve conciseness. The structure is front-loaded but not optimal.

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 that the tool has only two required parameters, no enums, and no nested objects, the description provides the essential purpose and a use case. The presence of an output schema (not shown but signaled) means return values need not be explained. However, it lacks information about error handling, preconditions (e.g., app must be running), or confirmatory details, leaving gaps for a new agent.

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 zero description coverage (no descriptions for parameters). The description lists the parameters in an Args block but simply repeats their names ('notebook_name: Name of the notebook.'), adding no semantic meaning or formatting details. Since the schema provides no descriptions and the description adds no value, the parameter semantics are weak.

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 ('List pages in a section'), the resource ('pages in a section'), and the context ('from the running OneNote app'). It also specifies a primary use case ('find page IDs for appending content to existing pages'), which helps differentiate it from sibling tools like list_sections or read_section.

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 advises when to use this tool: 'Use this to find page IDs for appending content to existing pages.' While it does not provide explicit 'when not to use' guidance, the stated use case implies that for other purposes (e.g., reading page content), alternative tools like read_section or search_notes might be more appropriate.

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 provided, so description carries full burden. It correctly describes a read-only operation ('list all') and mentions it returns notebook names with section counts. However, it lacks details on permissions, side effects, or whether notebooks are cached or always up-to-date.

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 sentences, no redundant words, front-loaded with purpose and output summary.

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 list tool with an output schema, the description adequately covers purpose, scope ('locally available'), and output format (names and section counts). No significant 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 has 0 parameters with 100% coverage, so baseline is 4. Description adds no parameter info, but none are 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?

Description clearly states it lists locally available OneNote notebooks and specifies the output (names and section counts). Distinguishes from sibling tool 'list_live_notebooks' by emphasizing 'locally available'.

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 no guidance on when to use this tool versus siblings like 'list_live_notebooks' or 'list_all_sections'. No explicit when-to-use or when-not-to-use conditions.

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 provided, and the description does not disclose any behavioral traits like read-only, side effects, pagination, or permissions. It assumes a simple list but lacks any safety notes.

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 very short with no fluff, front-loaded purpose, and structured Args section. However, it sacrifices completeness for brevity.

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 parameter and an output schema, the description is adequate but lacks details on return behavior, order, or whether it lists all sections recursively.

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 has 0% description coverage, but the description adds context for notebook_name: 'The name of the notebook (from list_notebooks)'. This helps the agent source the parameter but lacks format or constraints.

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' and resource 'sections' scoped to a notebook. However, it does not distinguish from sibling tool 'list_all_sections', which may list sections across notebooks.

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 or when-not-to-use guidance. The argument hint 'from list_notebooks' implies a prerequisite but alternatives like list_all_sections are not mentioned.

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 full behavioral burden. It usefully discloses the two output modes (Markdown vs raw XML) and the scope of content read, but says nothing about authentication requirements, whether reading a live page has side effects or caching implications, or error behavior when an identifier fails to resolve. It is informative about output but thin on operational traits.

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 purpose is front-loaded in the first sentence, followed by a compact argument list. Every line earns its place with no filler or repetition, though the Args block is a slightly verbose way to carry parameter semantics that could be tightened.

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?

An output schema exists, so return-value documentation is not required, and the description nonetheless states the output formats. All five parameters are covered, including fallback logic. The remaining gap is operational context (auth, failure modes) for a live-service read tool with no annotations, which keeps it short of a 5.

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 0%, so the description must compensate, and it does: all five parameters are documented with meaning, including that page_id is the persistent ID sourced from list_live_pages and that notebook_name/section_name/page_title are conditional fallbacks used only when page_id is absent. This conditional relationship between parameters is genuinely additive, though default values and the matching semantics of the page_title substring are not fully spelled out.

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 first sentence gives a specific verb (Read), a specific resource (a live OneNote page), and enumerates returned content (full text, tables, hierarchical sub-bullets) plus output formats (Markdown or raw XML). It clearly reads rather than mutates, distinguishing it from write siblings like create_page/update_page_content. It does not, however, explicitly differentiate itself from read_section or search_notes, which also retrieve content.

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?

Usage guidance is implicit: the page_id arg points to list_live_pages as the source, and the description explains the fallback path (notebook/section/page_title) when page_id is absent. That tells the agent how to locate a page but not when to prefer this tool over read_section or search_notes, and there are no exclusions or preconditions 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?

No annotations are provided, so the description carries the full burden. It states the tool reads content, implying non-destructive behavior, but does not disclose any side effects, permissions, rate limits, or data format specifics (e.g., markdown, plain text). The output schema exists but the description does not hint at return structure.

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 short (two lines for args, one line for purpose) and front-loaded. However, it includes 'Args:' which is redundant if the schema is present. Still, it is concise and well-structured for quick 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 simple read tool with an output schema, the description is minimally complete: it explains inputs and basic function. It lacks pre/error conditions or comparative context with siblings. Given the low complexity and existence of output schema, the description is adequate but could be more informative.

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 no parameter descriptions, so the description adds significant value by explaining that 'section_name' should come from 'list_sections' and 'notebook_name' is the notebook name. This is helpful and compensates for the 0% schema description 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 verb 'Read' and the resource 'all text content from a specific section of a notebook'. This distinguishes it from sibling tools like list_sections (list only) and search_notes (search across sections). The specificity is high.

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 indicates the tool reads a section's text content, but provides no guidance on when to use it versus alternatives (e.g., list_sections for listing, search_notes for querying). It relies on the user to infer usage context from the tool name and description.

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?

Discloses basic behavior (search all notebooks, returns snippets, case-insensitive) but lacks details on performance, limitations, or error conditions. Without annotations, the description carries full burden; it is adequate but not comprehensive.

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?

Extremely concise: two sentences plus a parameter description. Every word is necessary and front-loaded with the tool's purpose.

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 an output schema present, the description adequately covers return behavior ('matching sections with a snippet'). Could mention pagination or max results, but not essential for a one-parameter search.

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 0%, so description must compensate. It adds 'case-insensitive' detail beyond the schema property title 'Query', providing valuable usage context.

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 specific verb 'search' and resource 'text across ALL notebooks and sections', clearly distinguishing from sibling tools that list or read specific items.

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?

States what it does ('searches through text content of every section') but does not explicitly mention when to avoid or suggest alternatives, though no obvious alternatives exist among 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 carries the full behavioral burden. It does signal destructiveness by saying 'Replace the body content', which is the most important trait. However it does not disclose reversibility, required permissions, or what happens to existing formatting/elements not present in the new HTML.

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?

Front-loaded with the core action in the first sentence, then a compact Args block for the two parameters. No filler text; every line carries 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?

An output schema exists, so return values need not be explained. For a destructive mutation tool with zero annotations, however, the description says nothing about permissions, irreversibility, or formatting side effects, leaving a real gap for safe invocation.

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 0%, so the description must compensate, and it partially does: page_id is documented as 'persistent OneNote page ID (from list_live_pages)' and content as HTML. This is more than the schema offers, but the HTML expectations (full vs fragment, escaping) remain unspecified.

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 ('Replace the body content of an existing OneNote page') with the format (HTML), so the agent knows exactly what the tool does. It implicitly contrasts with the sibling append_to_page (replace vs append) but never names that alternative explicitly.

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 word 'Replace' implies this is the whole-body-overwrite option as opposed to append_to_page, but there is no explicit statement of when to choose one over the other. It also gives no prerequisites (e.g. page must exist, required permissions).

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