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 'Configures', without detailing whether the tool modifies an existing document, overwrites existing headers/footers, or what happens if the file is missing. No side effects, prerequisites, or return behavior are disclosed, making it insufficient 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 a single, focused sentence that is front-loaded with the primary action and resource. It contains no fluff or redundant information, earning a high score for conciseness and clear structure.

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 this is a mutation tool with no annotations and no output schema, the description fails to provide critical context. It does not mention that the tool likely requires an existing document, whether it will overwrite existing headers/footers, or what the return value (if any) is. The description is too thin for the tool's complexity and the expectations set by the 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?

The schema already provides descriptions for all five parameters (100% coverage). The description adds value beyond the schema by specifying the Arabic page numbering format ('صفحة X من Y'), which clarifies how the 'includePageNumbers' parameter behaves and what the output will look like. This context helps the agent understand the tool's output format.

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: configuring document header and footer with custom text and Arabic page numbering. It uses a specific verb ('Configures') and resource ('document header and footer'), distinguishing it from sibling tools that handle other document aspects (paragraphs, headings, tables, etc.).

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 this tool (when header/footer configuration is needed) but provides no explicit guidance on when not to use it or alternatives. Sibling tools like 'add_paragraph_to_document' or 'modify_word_xml_element' are not mentioned as alternatives, leaving usage context implicit.

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 discloses that the tool appends (a mutation) but lacks key behavioral details: whether the file must already exist, if the file is modified in place, what happens on error, or if the heading replaces existing content. This is a significant gap for a file-modifying 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, informative sentence that is front-loaded with the core action and includes the most relevant customization options. No wasted words or redundant details.

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 an 8-parameter mutation tool with no output schema and no annotations, this description is minimally adequate. It covers the core purpose and highlights key parameters, but omits important context about file handling (e.g., creating vs. modifying), side effects, and failure behavior, which an agent would need to invoke it safely.

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%, so the schema fully documents all 8 parameters. The description lists categories like font size, color, alignment, and RTL support but does not add new information beyond what the schema already provides. 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 tool appends a styled Heading (H1-H6) to a Word document, specifying the resource (Word document) and the action (appending a heading). It distinguishes itself from sibling tools like add_paragraph_to_document by explicitly targeting headings with style customization.

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: use this tool when you need to add a heading to a Word document. However, there is no explicit guidance on when to prefer this over add_paragraph_to_document or other siblings, nor any exclusions or prerequisites beyond the obvious heading intent.

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 states the action but does not mention whether the target document must already exist, whether it modifies the file in place, permission requirements, or error behavior. For a mutation tool, this is a significant transparency 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 sentence that is concise and front-loaded with the essential action. It avoids redundancy and every phrase contributes to understanding 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?

The schema covers parameters well, and the description gives a clear purpose. However, it fails to mention important context such as whether the document must already exist, what happens if the file path is invalid, or any side effects like modifying the document in place. This is adequate but with noticeable gaps for a document-editing 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 input schema provides 100% coverage for all five parameters, with descriptions for each. The description only repeats 'width, height, and alignment' which adds little beyond what the schema already specifies. Since schema coverage is high, a 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 tool's function: 'Embeds a PNG/JPEG image into a Word document'. It specifies the action (embeds), the resource (image into a Word document), and mentions key parameters (width, height, alignment). This distinguishes it from sibling tools that add paragraphs, headings, or tables.

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 that the tool is for inserting images into Word documents. While it does not explicitly mention when not to use it or name alternative tools, the context is unambiguous given the sibling list. It lacks explicit exclusions, so it earns a 4 rather than 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?

With no annotations, the description must fully disclose behavior. It says 'appends' (a mutation) and mentions RTL/kashida support, but it omits file prerequisites (e.g., document must exist), side effects (modifies file in place), and return values, leaving the agent uncertain about runtime 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?

The description is one concise sentence, front-loaded with the core action ('Appends a styled paragraph') and includes only relevant details. 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?

Despite its clarity, this 13-parameter tool with no output schema and no annotations would benefit from additional context about return behavior, file handling, or error cases. The description covers the main purpose but leaves operational gaps that an agent must infer.

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%—every parameter has a description. The tool description adds little semantic value beyond listing a few style features (font, size, RTL) that map to schema properties. This matches the baseline of 3 for high schema 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 action: 'Appends a styled Arabic or English paragraph to a Word document' and lists key formatting features (font, size, RTL, kashida, line spacing). This clearly distinguishes it from sibling tools like add_heading_to_document and add_table_to_document.

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 makes clear it is for adding styled paragraphs to Word documents, and sibling tool names imply alternatives. However, it does not explicitly state when not to use the tool or name alternative tools for other content types.

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 burden of disclosing behavior. It clearly states the operation is an append and lists formatting details (RTL, header styling, shading, borders). However, it does not mention whether an existing document is required, how the file is saved, or any error conditions, leaving some behavioral uncertainty.

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 sentence, efficient and front-loaded with the action ('Appends'), immediately clear. 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?

The description plus fully-covered schema provide a clear picture of what the tool does and how to invoke it. The main missing element is explicit guidance on prerequisites (e.g., existing file), but the operation is simple enough that the description feels adequate.

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 covers all parameters with descriptions, so the baseline is 3. The description does not add additional meaning beyond the schema; it references styling and RTL but does not map them to specific 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 the specific verb 'Appends' and identifies the resource as 'a structured table with RTL layout... to a Word document,' clearly distinguishing it from sibling tools that handle paragraphs, headings, images, etc.

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 for adding tables to Word documents but does not explicitly state when to use this tool versus alternatives or exclude other scenarios. Sibling tool names provide context, but the description itself lacks comparison.

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 itself must disclose behavior. It does explain what content is extracted (headings and paragraphs) and the output format (Markdown), but it does not mention whether the tool is read-only, whether it creates a new file or returns a string, or what happens to non-heading/paragraph elements like tables. This leaves notable behavioral ambiguity.

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 tool's purpose and provides sufficient detail in minimal words. Every word earns its place, with no redundancy or 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?

Given the tool's simplicity (1 parameter, no output schema), the description is nearly complete. It clearly communicates the tool's function, though it would benefit from specifying the return format (e.g., Markdown string vs. saved file) to eliminate ambiguity. The sibling context makes the conversion purpose obvious.

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% for the single required parameter 'filePath', and the description refers to the target Word document. The tool description does not add parameter-specific details beyond what the schema already provides, so 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 clearly states the tool's function: 'Extracts formatted headings and paragraph text from a Word document into structured Markdown.' The verb 'Extracts' and the resource 'Word document' are specific, and the outcome 'structured Markdown' distinguishes it from sibling tools like create_word_document or inspect_word_document.

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 when the user wants a readable, Markdown-formatted version of a .docx file's headings and paragraphs for analysis. However, it does not explicitly contrast with sibling tools or state when not to use it, such as when tables or images are needed.

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 disclosing behavioral traits. It mentions RTL settings and Arabic font, but omits critical details such as whether existing files are overwritten, whether directories are created, or what the return value is. For a file-writing tool, this 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 sentence of about 20 words, with the primary action front-loaded. It contains no filler or redundant information, every phrase contributes 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?

The description adequately covers the core creation behavior and the schema is thorough, but it does not address file handling (e.g., overwrite behavior), return values, or that the document starts empty. Given the absence of annotations and output schema, more operational details would be beneficial.

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 documents all 11 parameters with descriptions, giving 100% coverage, so the baseline is 3. The description adds value by grouping parameters into semantic categories (page setup, margins, metadata) and noting the RTL default behavior, which is not explicitly 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 uses a specific verb 'Creates' with a clear resource 'new Microsoft Word (.docx) document' and enumerates key capabilities such as page setup, margins, metadata, and Arabic font/RTL settings. It is distinct from sibling tools that inspect or modify existing documents, making the purpose 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?

The description implies this tool is for creating a new document, but it does not explicitly state when to use it versus alternatives, nor does it mention that content addition should be handled by sibling tools like add_paragraph_to_document. No exclusion criteria or usage context beyond creation is provided.

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, but it omits critical behaviors: whether the original template file is modified or a new file is written (despite outputPath being a required parameter), what happens with missing or extra keys, and error conditions. The description only states a high-level merge action without disclosing side effects.

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. It earns its place by stating the verb, resource, and an illustrative example 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?

For a tool that writes files and handles template logic, the description is under-specified. It lacks guidance on output behavior (e.g., whether outputPath creates a new file or overwrites), array/loop handling details, and any return values or error messages. The example tags hint at features but do not explain them, leaving significant gaps for an agent to use the tool safely.

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 provides 100% coverage for parameter descriptions, giving the baseline of 3. The description adds meaningful semantics by explaining that data keys correspond to tags in the template and hints at loop support with {#items}, which clarifies the data parameter's structure beyond 'Key-value data object'.

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 ('Merges') and resource ('.docx template containing tags'), clearly distinguishing it from sibling tools like add_paragraph or create_word_document. The example tags ({name}, {#items}) ground the tool's function in concrete template syntax.

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: use when you have a .docx template with tags and JSON data to fill in. It does not explicitly name alternatives or exclusions, but the tag-based context is clear enough to guide selection among document manipulation 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 burden of behavioral disclosure. It accurately implies a read-only operation and reveals the scope of returned information, but does not mention potential errors or side effects (e.g., file not found, invalid format). The reuse of 'existing' reinforces non-mutating 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?

The description is one concise sentence that front-loads the action and resource, then provides a useful parenthetical list of output categories. No filler or repetition.

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?

There is no output schema, so the description must convey return value expectations. It lists several concrete analysis categories, which covers the essential outputs. It lacks details on return format, potential error conditions, or whether the file is opened read-only, but for a single-parameter parser, this is mostly adequate.

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 the single parameter `filePath` already includes a clear description ('Path to .docx file'). The tool description merely echoes that the file must be an existing .docx, adding little 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 states a specific verb ('Parses') and resource ('an existing .docx file') and enumerates concrete outputs (paragraph counts, headings, tables, fonts, RTL flags, metadata). This clearly distinguishes it from sibling tools that create, modify, or convert documents.

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 gives clear context: use this when you need structural analysis of an existing document. However, it does not explicitly exclude alternatives or name specific siblings for cases like editing or conversion, so it lacks explicit when-not-to-use 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 must carry the full burden of behavioral disclosure. It identifies the target (document.xml) but omits critical details such as whether the modification is in-place or uses outputPath, whether invalid XML could corrupt the document, or any prerequisite knowledge needed. This is a significant transparency gap for a low-level 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 a single, well-front-loaded sentence that immediately establishes the verb, resource, and purpose. Every word earns its place, with no redundancy or filler.

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 low-level tool with no annotations and no output schema, the description is too minimal. It does not explain the tool's side effects, the meaning of outputPath, or how to use it safely. Given the complexity of raw XML modification, more context is needed to prevent misuse.

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 the baseline is 3. The description adds no extra parameter meaning beyond what the schema already provides, aside from a generic mention of text nodes/tags, which aligns with targetText/replacementText but does not enhance understanding.

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 specific action ('Performs low-level XML text node or tag modification') and the exact resource ('document.xml'), distinguishing it from sibling tools that operate at higher levels of abstraction. The phrase 'for deep customization' reinforces its unique role.

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 for 'deep customization' but does not explicitly state when this tool should be preferred over siblings or when it should not be used. No alternatives are named, and the guidance remains implicit rather than explicit.

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