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

With no annotations provided, the description carries the full burden and does well by disclosing key behavioral traits: idempotent behavior ('succeed silently if already exists'), ability to create nested directories, and the constraint 'only works within allowed directories'. It doesn't mention permissions, rate limits, or error conditions, but covers the essential operational 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?

Four concise sentences, each earning its place: states core functionality, explains nested creation capability, describes idempotent behavior, and provides usage context with constraints. Front-loaded with the essential operation, zero wasted words.

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

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

For a single-parameter mutation tool with no annotations or output schema, the description is quite complete - it explains what the tool does, its behavior, constraints, and use cases. The main gap is lack of information about return values or error conditions, but given the simplicity of the operation, it's reasonably 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?

With 0% schema description coverage for the single 'path' parameter, the description compensates by explaining what the path represents ('directory or nested directories') and the operational context ('within allowed directories'). It doesn't specify path format or constraints, but adds meaningful context beyond the bare schema.

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

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

The description clearly states the tool's purpose with specific verbs ('create', 'ensure exists') and resource ('directory'), distinguishing it from siblings like list_directory or move_file. It explicitly mentions creating nested directories, which differentiates it from simple file operations.

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

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

The description provides clear context for when to use this tool ('setting up directory structures for projects or ensuring required paths exist'), but doesn't explicitly state when NOT to use it or name specific alternatives. It implies usage for directory creation rather than file operations, but lacks explicit 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 provided, the description carries the full burden of behavioral disclosure. It adds useful context: the output format (JSON with 2-space indentation), structure details (entries include 'name', 'type', 'children'), and the constraint ('Only works within allowed directories'). However, it doesn't cover aspects like error handling, performance implications for large directories, or authentication needs.

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 appropriately sized and front-loaded: the first sentence states the core purpose, followed by details on output structure and constraints. Every sentence adds value without redundancy, making it efficient and easy to parse.

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 moderate complexity (recursive tree generation), no annotations, and no output schema, the description does well by explaining the output format and structure in detail. It covers key aspects like entry fields and the 'children' array behavior. However, it could improve by mentioning potential limitations (e.g., depth limits) or error cases.

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 for the single parameter 'path'. While it doesn't explicitly mention the 'path' parameter, the context 'Get a recursive tree view' and 'Only works within allowed directories' implies that a path is required to specify the starting directory. This adds meaningful semantics beyond the bare schema, though it could be more direct.

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 with specific verbs ('Get a recursive tree view') and resources ('files and directories'), distinguishing it from siblings like 'list_directory' (flat listing) or 'get_file_info' (single file). It precisely defines what the tool does: returns a JSON structure representing a directory tree.

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

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

The description provides clear context for usage with 'Only works within allowed directories,' indicating a constraint, and implicitly distinguishes it from siblings by specifying a recursive tree view (vs. flat listings in 'list_directory' tools). However, it lacks explicit when-not-to-use guidance or named alternatives for similar tasks.

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 does well by describing the edit mechanism ('replaces exact line sequences'), output format ('git-style diff'), and a key constraint ('Only works within allowed directories'). However, it lacks details on error handling, permissions needed, or whether edits are atomic/reversible, which are important 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 front-loaded with the core purpose in the first sentence, followed by key behavioral details and constraints in subsequent sentences. Every sentence adds value: the edit mechanism, return format, and directory restriction. There's no redundancy or wasted words.

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

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

For a mutation tool with 3 parameters, low schema coverage (33%), no annotations, and no output schema, the description does a good job covering purpose, behavior, and constraints. It explains the edit process and output format, but lacks details on error cases, permissions, or what the diff output looks like structurally. Given the complexity, it's mostly complete but has minor 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 low (33%), with only 'dryRun' having a description. The description compensates by explaining the 'edits' parameter semantics ('Each edit replaces exact line sequences with new content') and implying 'path' is for the text file. It doesn't detail 'path' format or 'edits' array structure, but adds meaningful context beyond the sparse schema.

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

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

The description clearly states the tool's purpose with specific verbs ('Make line-based edits', 'replaces exact line sequences') and resource ('to a text file'), distinguishing it from sibling tools like write_file (which presumably writes entire files) and read_file (which only reads). It also mentions the return value ('Returns a git-style diff') which further clarifies its function.

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

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

The description provides clear context for when to use this tool ('Make line-based edits to a text file') and includes an important constraint ('Only works within allowed directories'), which implicitly suggests using list_allowed_directories first. However, it doesn't explicitly state when not to use it or name alternatives (e.g., write_file for full file overwrites), keeping it from a perfect score.

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 effectively describes the tool's read-only nature and scope constraint ('without reading the actual content', 'Only works within allowed directories'), but lacks details on error handling, rate limits, authentication needs, or response format. For a tool with zero annotation coverage, this is adequate but leaves gaps in operational context.

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 front-loaded with the core purpose in the first sentence, followed by supporting details, and uses only three sentences with zero waste. Each sentence adds value: the first defines the tool, the second elaborates on returns, and the third provides usage context and constraints, 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 moderate complexity (single parameter, no output schema, no annotations), the description covers the purpose, usage, and constraints adequately. However, it lacks details on return values (e.g., what 'comprehensive information' includes beyond listed examples) and error cases, which would be helpful for an agent. It's minimally viable but has clear gaps in completeness.

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 0% description coverage, so the description must compensate. It doesn't explicitly mention the 'path' parameter, but implies it through context ('about a file or directory', 'within allowed directories'), adding semantic meaning about what the parameter represents. However, it doesn't specify format or constraints for the path, so it doesn't fully compensate for the schema gap, warranting a score just above baseline.

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 ('Retrieve detailed metadata'), resource ('about a file or directory'), and distinguishes it from siblings by emphasizing it provides metadata 'without reading the actual content', unlike read_file or read_text_file which access content directly. This precise differentiation makes the tool's purpose immediately 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 provides clear context for when to use this tool ('perfect for understanding file characteristics without reading the actual content') and mentions a constraint ('Only works within allowed directories'), which helps guide usage. However, it doesn't explicitly name alternatives or specify when not to use it compared to similar tools like list_directory or search_files, leaving some ambiguity.

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

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

No annotations are provided, so the description carries the full burden. It describes the tool's purpose and usage context but doesn't disclose behavioral traits like whether this is a cached result, if it requires specific permissions, rate limits, or what format the returned list takes. The description adds value but doesn't fully compensate for the lack of annotations.

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

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

The description is perfectly concise with two sentences that each earn their place. The first sentence states the purpose, the second provides usage guidance. No wasted words, and the most important information (what the tool does) is 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?

For a parameterless tool with no output schema, the description provides good context about what the tool returns and when to use it. However, it doesn't describe the return format or structure, which would be helpful given the lack of output schema. The description is mostly complete but could benefit from return value details.

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

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

The tool has 0 parameters with 100% schema description coverage. The description appropriately doesn't discuss parameters since none exist. It focuses instead on the tool's purpose and usage context, which is the correct approach for a parameterless tool.

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 with specific verb ('Returns') and resource ('list of root directories that this server is allowed to access'). It distinguishes itself from siblings like 'list_directory' by focusing on allowed/accessible directories rather than directory contents.

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

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

The description explicitly states when to use this tool: 'Use this to understand which directories are available before trying to access files.' This provides clear guidance that this should be used as a preliminary check before file operations, differentiating it from siblings that perform actual file operations.

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 adds useful context: it distinguishes files and directories with prefixes, mentions it only works within allowed directories, and describes the output format partially. However, it doesn't cover important aspects like error handling (e.g., what happens if the path doesn't exist), performance characteristics, or whether it's read-only (implied but not stated). The description doesn't contradict any annotations since none are provided.

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 appropriately sized with three sentences that are front-loaded: the first sentence states the core purpose, the second adds output details, and the third provides context and constraints. There's minimal waste, though the phrase 'This tool is essential for...' could be considered slightly promotional rather than purely informative.

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 no annotations, no output schema, and 1 parameter with low schema coverage, the description is moderately complete. It covers the purpose, output format, and constraints, but lacks details on error handling, performance, and explicit differentiation from siblings. For a tool with no structured metadata, it should do more to compensate, such as explaining return values or usage scenarios more thoroughly.

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 1 parameter with 0% description coverage, so the description must compensate. It adds meaning by specifying that the 'path' parameter is for 'a specified path' and contextualizes it with 'Only works within allowed directories,' which helps understand valid inputs. However, it doesn't provide format details (e.g., absolute vs. relative paths) or examples. Given the low schema coverage, the description does a good job but could be more specific.

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 detailed listing of all files and directories in a specified path.' It specifies the verb ('Get') and resource ('files and directories'), and distinguishes it from siblings like 'directory_tree' by focusing on detailed listing rather than hierarchical structure. However, it doesn't explicitly differentiate from 'list_directory_with_sizes' or 'list_allowed_directories' beyond mentioning 'detailed listing' and 'allowed directories'.

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 some usage context: 'This tool is essential for understanding directory structure and finding specific files within a directory' and 'Only works within allowed directories.' It implies when to use it (for detailed listings) but doesn't explicitly state when to choose alternatives like 'list_directory_with_sizes' for size information or 'directory_tree' for hierarchical views. No explicit exclusions or prerequisites are mentioned beyond the allowed directories constraint.

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 usefully describes output formatting ('[FILE] and [DIR] prefixes'), access restrictions ('Only works within allowed directories'), and the inclusion of sizes. However, it doesn't mention potential limitations like pagination, error conditions for invalid paths, or performance characteristics for large directories, leaving gaps in behavioral understanding.

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 efficiently structured in three sentences: first states core functionality, second details output format, third provides usage context and restriction. Every sentence adds value with no redundancy or fluff, making it easy to parse and front-loaded with key 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?

For a tool with 2 parameters, no annotations, and no output schema, the description does well by covering purpose, output format, usage context, and restrictions. However, it lacks details on return values (beyond prefixes), error handling, and parameter specifics, leaving some gaps given the absence of structured metadata.

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 50% (only 'sortBy' has a description), so the description must compensate. It mentions the 'path' parameter ('specified path') but doesn't explain path format or validation. It implies size information in output but doesn't connect to the 'sortBy' parameter's 'size' option. The description adds some context but doesn't fully compensate for the schema's coverage gap.

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 ('Get a detailed listing') and resource ('files and directories in a specified path'), with specific output details ('including sizes', '[FILE] and [DIR] prefixes'). It distinguishes from sibling tools like 'list_directory' by specifying size inclusion and formatting, and from 'directory_tree' by focusing on flat listing rather than hierarchical structure.

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

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

The description provides clear context for when to use it ('useful for understanding directory structure and finding specific files within a directory') and includes an important exclusion ('Only works within allowed directories'). However, it doesn't explicitly compare to alternatives like 'list_directory' (which might not include sizes) or 'search_files' (for targeted searches), leaving some guidance 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.

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 effectively describes the operation's behavior (move/rename, fails if destination exists, works across/allowed directories), but lacks details on permissions needed, error handling beyond failure, rate limits, or what the response looks like. It's adequate but has gaps 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 efficiently structured with four sentences that each add value: purpose statement, capability details, failure condition, and constraints. It's front-loaded with the core function and avoids redundancy, making it easy to parse quickly.

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 a mutation tool with 2 parameters, 0% schema coverage, no annotations, and no output schema, the description is moderately complete. It covers the basic operation, constraints, and parameter roles, but lacks details on permissions, error messages, return values, or interaction with siblings like 'edit_file' for content changes. It's sufficient for basic use but could be more 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?

Schema description coverage is 0%, so the description must compensate. It adds meaningful context about parameters: 'source' and 'destination' are explained as paths for moving/renaming, with constraints (must be within allowed directories, destination existence causes failure). This provides good semantic understanding beyond the bare schema types, though it doesn't specify path formats or examples.

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 with specific verbs ('move or rename files and directories') and distinguishes it from siblings like 'create_directory', 'edit_file', and 'write_file' by focusing on relocation/renaming operations. It explicitly mentions moving between directories and renaming within the same directory, providing clear differentiation.

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 about when to use this tool (moving/renaming files/directories, across directories or within same directory) and mentions a key constraint (fails if destination exists). However, it doesn't explicitly state when NOT to use it or name specific alternatives among siblings like 'rename_file' if such existed, though it distinguishes from other file operations.

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 full burden. It states the basic operation but doesn't disclose behavioral aspects like file size limits, encoding handling, error conditions, or performance characteristics. The deprecation warning is valuable context but doesn't cover operational 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?

Two sentences, zero waste. The first sentence states the purpose, the second provides critical deprecation guidance. Every word earns its place and the most important information (deprecation) is appropriately positioned.

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 file reading tool with 3 parameters, no annotations, and no output schema, the description is incomplete. It doesn't explain return format, error handling, or the relationship between 'complete contents' and the head/tail parameters. The deprecation warning is helpful but doesn't compensate for missing operational context.

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 67% (2 of 3 parameters described). The description mentions 'complete contents' which contradicts the optional head/tail parameters that allow partial reading. This creates confusion rather than adding semantic value beyond what the schema provides.

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 ('Read the complete contents') and resource ('a file as text'), distinguishing it from siblings like read_media_file or read_multiple_files. The deprecation notice further clarifies its relationship to read_text_file.

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

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

The description explicitly states when NOT to use this tool ('DEPRECATED: Use read_text_file instead'), providing clear alternative guidance. This directly addresses the agent's decision-making between this deprecated tool and its replacement.

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 adds context about the return values (base64 encoded data and MIME type) and the directory restriction, which are useful beyond basic functionality. However, it lacks details on permissions, error handling, or performance aspects, leaving gaps for a tool with no annotation coverage.

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 appropriately sized with three concise sentences that are front-loaded: it states the action, return values, and constraint efficiently. Every sentence adds value without redundancy, making it easy to parse and understand quickly.

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 no annotations, no output schema, and low schema coverage, the description provides basic completeness by covering purpose, returns, and a constraint. However, for a tool that reads media files, it lacks details on supported formats, size limits, or error cases, which are important for contextual understanding. It's adequate but has clear 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 has 1 parameter with 0% description coverage, so the description must compensate. It doesn't explicitly mention the 'path' parameter or provide additional semantics beyond the directory constraint implied in the description. The baseline is 3 since the schema coverage is low, but the description adds minimal param-specific value.

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 resource 'image or audio file', specifying the action and target. It distinguishes from siblings like 'read_file' and 'read_text_file' by focusing on media files, though it doesn't explicitly contrast them. The purpose is specific but could be more precise about sibling differentiation.

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 stating 'Only works within allowed directories', providing some context about constraints. However, it doesn't explicitly guide when to use this tool versus alternatives like 'read_file' or 'read_text_file', nor does it mention prerequisites or exclusions beyond the directory restriction. Usage is implied but not fully articulated.

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 effectively describes key traits: efficiency gains, partial failure tolerance ('Failed reads for individual files won't stop the entire operation'), and access restrictions ('Only works within allowed directories'). It doesn't cover rate limits or detailed error handling, but provides substantial context beyond basic functionality.

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 front-loaded with the core purpose, followed by efficiency rationale, output format hint, failure behavior, and access constraint—all in four concise sentences. Each sentence adds value without redundancy, making it well-structured and efficient.

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 no annotations and no output schema, the description does a good job covering key aspects: purpose, usage context, behavioral traits (partial failures, restrictions), and efficiency. It lacks details on return format (beyond 'content is returned with its path') and error specifics, but for a read operation with one parameter, it's largely complete and helpful.

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 0%, but the description doesn't explicitly explain the 'paths' parameter beyond implying it's an array of file paths. It adds minimal semantic value (e.g., no format details or constraints), so it doesn't fully compensate for the coverage gap. With one parameter, a baseline of 3 is appropriate as the description hints at usage without detailed param info.

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 resource ('contents of multiple files'), specifying it's for simultaneous reading. It distinguishes from sibling tools like 'read_file' by emphasizing batch efficiency and partial failure tolerance, making the purpose specific and differentiated.

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 on when to use this tool ('more efficient than reading files one by one when you need to analyze or compare multiple files') and mentions a constraint ('Only works within allowed directories'). However, it doesn't explicitly state when not to use it or name alternatives like 'read_file' for single files, which would elevate it to 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 provided, the description carries full burden and does well: it discloses error handling ('provides detailed error messages'), encoding support ('Handles various text encodings'), and operational constraints ('Only works within allowed directories'). It doesn't mention performance characteristics like rate limits or file size limits, but covers core behavioral aspects adequately.

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 efficiently structured: first sentence states core purpose, second adds behavioral context, third provides usage guidance, fourth explains parameter usage, and fifth states constraints. Every sentence adds value with zero redundancy, and key information is 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?

For a read operation with 3 parameters and no output schema, the description is quite complete: it covers purpose, usage, parameters, constraints, and error behavior. The main gap is lack of output format details (what the returned text looks like, encoding specifics), but given it's a text read tool, this is partially mitigated by the clear purpose statement.

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 67% (2 of 3 parameters have descriptions). The description adds significant value: it explains the purpose of 'head' and 'tail' parameters ('read only the first N lines'/'read only the last N lines'), which the schema descriptions only partially cover. However, it doesn't explain the 'path' parameter beyond what's implied, leaving some semantic gap.

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 ('Read the complete contents'), resource ('a file from the file system'), and scope ('as text'). It distinguishes from siblings like 'read_file' (which might handle binary) and 'read_multiple_files' (which handles multiple files) by specifying text-only, single-file operation.

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?

Explicit guidance is provided: 'Use this tool when you need to examine the contents of a single file.' It also distinguishes from alternatives by mentioning 'head' and 'tail' parameters for partial reading, and clarifies scope with 'Only works within allowed directories' (contrasting with unrestricted file access 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 provided, the description carries the full burden of behavioral disclosure. It effectively describes key behavioral traits: recursive search through subdirectories, case-insensitive partial matching, returns full paths, and the constraint of searching only within allowed directories. It doesn't mention performance characteristics, rate limits, or error conditions, but covers the essential operational behavior well.

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 efficiently structured with 4 sentences, each adding distinct value: the core functionality, search behavior, return value, use case, and constraint. No sentence is redundant or wasted. It's appropriately sized for a search tool with 3 parameters and no annotations.

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 search tool with 3 parameters, 0% schema coverage, no annotations, and no output schema, the description does well to explain the recursive pattern matching behavior and constraints. It could benefit from mentioning the excludePatterns parameter or providing examples of pattern syntax, but covers the essential operational context adequately given the complexity.

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?

With 0% schema description coverage and 3 parameters, the description adds significant value by explaining the pattern matching behavior ('case-insensitive and matches partial names'), recursive nature ('searches through all subdirectories'), and starting point ('from the starting path'). While it doesn't explicitly name each parameter, it provides crucial context about how the pattern and path parameters work together.

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 with specific verbs ('recursively search for files and directories') and resources ('files and directories matching a pattern'), distinguishing it from siblings like list_directory (non-recursive listing) or get_file_info (single file metadata). It explicitly mentions the recursive nature and pattern matching, which differentiates it from simpler listing tools.

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 about when to use this tool ('Great for finding files when you don't know their exact location') and constraints ('Only searches within allowed directories'), but doesn't explicitly mention when NOT to use it or name specific alternatives. It implies usage vs. list_directory (which doesn't search recursively) but doesn't state this directly.

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 full burden and effectively discloses key behavioral traits: it's a destructive operation (overwrites without warning), has safety constraints (allowed directories only), and handles text encoding. It doesn't cover error cases or permissions, but provides substantial context beyond basic function.

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 front-loaded with core functionality, uses three efficient sentences with zero waste, and each sentence adds critical information (purpose, warning, constraints). It's appropriately sized for a tool with two parameters and no annotations.

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 complexity (destructive file operation), lack of annotations, and no output schema, the description is mostly complete: it covers purpose, risks, constraints, and content handling. It could benefit from mentioning error responses or success indicators, but provides sufficient context for safe 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 input schema has 0% description coverage, but the description adds some semantic context: 'path' relates to file location (implied by 'allowed directories') and 'content' is text with encoding. However, it doesn't detail path format, content limitations, or encoding specifics, leaving gaps in parameter 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 tool's purpose with specific verbs ('create' and 'overwrite') and resource ('file'), distinguishing it from siblings like edit_file (partial modification) and read_file (read-only). It explicitly mentions handling text content with encoding, which further clarifies its 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?

The description provides clear context for usage ('Use with caution as it will overwrite existing files without warning') and constraints ('Only works within allowed directories'), but does not explicitly name alternatives like edit_file for partial updates or create_directory for directories. This gives good guidance but lacks explicit sibling differentiation.

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