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 key behavioral traits: output format (JSON with 2-space indentation), structure details (children arrays for directories, none for files), and constraints (works only within allowed directories). However, it doesn't mention error handling, performance implications of deep recursion, or whether it follows symlinks, leaving some gaps.

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 parameter details and constraints, all in clear, efficient sentences. Every sentence adds value: no repetition or fluff, making it easy to scan 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 and no output schema, the description does a good job covering the tool's behavior, parameters, and constraints. It explains the output structure and formatting, which compensates for the lack of output schema. However, it could mention performance considerations or error cases for completeness, given the recursive nature.

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 description adds meaningful context beyond the schema: it explains that excludePatterns uses glob syntax and gives examples ('*.log', 'node_modules'), clarifies that maxDepth has a default of 2, and ties parameters to functionality (depth limiting controls traversal, excludePatterns filters unwanted items). With 67% schema coverage, this compensates well for the uncovered aspects.

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' and resource 'recursive tree view of files and directories as a JSON structure', distinguishing it from sibling tools like list_directory (flat listing) or get_file_info (single file metadata). It specifies the recursive nature and JSON output format, making the purpose specific and distinct.

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: 'Only works within allowed directories' sets a prerequisite, and the mention of depth limiting and exclusion patterns implies use cases for controlling traversal. However, it doesn't explicitly state when to use this tool versus alternatives like list_directory or search_files, missing explicit sibling differentiation.

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

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

With no annotations provided, the description carries the full burden and does well by disclosing key behaviors: recursive search, case-insensitive matching, returns full paths, default parameter values, and the constraint 'Only searches within allowed directories.' It lacks details on error handling or performance limits, but covers essential 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 description is front-loaded with core functionality, uses concise sentences without redundancy, and each sentence adds value (e.g., explaining defaults, use cases, and constraints). It is appropriately sized for the tool's complexity.

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 provides good coverage of behavior, parameters, and constraints. It could improve by detailing the return format (e.g., list structure) or error conditions, but it is largely complete for a search tool with moderate 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?

Schema description coverage is 60%, and the description adds meaningful context beyond the schema: it explains that 'maxDepth' and 'maxResults' have defaults (2 and 10), clarifies the recursive nature and case-insensitivity of extension matching, and mentions the 'allowed directories' constraint, which compensates well for the 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 tool's purpose with specific verbs ('recursively find all files') and resources ('files with a specific extension'), distinguishing it from siblings like 'search_files' or 'list_directory' by emphasizing extension-based filtering and recursive traversal.

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 ('Perfect for finding all XML, JSON, or other file types in a directory structure') but does not explicitly mention when not to use it or name specific alternatives among the sibling tools, such as 'search_files' for broader searches.

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 disclosure. It states what it returns (size, creation time, permissions, type) and explicitly says it does not read content, implying a read-only behavior. It also discloses the allowed-directories restriction. However, it doesn't describe error behavior (e.g., nonexistent paths) or permission requirements, leaving minor gaps.

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 three sentences long, front-loaded with the primary purpose. Each sentence adds value: what it does, what it returns, and when/where it can be used. 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 tool with a single parameter and no output schema, the description covers essential aspects: target type (file/directory), return details, and access restriction. It doesn't cover error handling or return format specifics, but given the tool's simplicity and the absence of annotations, it is reasonably complete.

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 provides only a 'path' string with 0% description coverage. The description adds that the target can be a file or directory and that it must be within allowed directories, which is helpful. However, it doesn't specify path format (absolute vs relative) or whether trailing slashes matter, so the compensation is partial.

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 'Retrieve' with a clear resource: 'detailed metadata about a file or directory'. It distinguishes itself from siblings like read_file (which reads content) and list_directory (which lists contents), 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?

It explicitly states the tool is for 'understanding file characteristics without reading the actual content', implying when to use it over content-reading tools. It also mentions 'Only works within allowed directories', providing a crucial constraint. It doesn't explicitly name alternatives but the context is clear.

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 clearly describes what the tool returns (permission state, allowed operations, read-only/full access status) and its purpose as a pre-operation check. However, it doesn't mention potential limitations like whether permissions can change between calls or if there are rate limits.

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 serve distinct purposes: the first explains what the tool returns, and the second explains when to use it. There is no wasted language or 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 zero-parameter tool with no annotations and no output schema, the description provides good contextual completeness by explaining what information is returned and when to use it. However, without an output schema, it could benefit from more detail about the exact structure of the permission state response.

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

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

The tool has zero parameters with 100% schema description coverage, so the baseline would be 4. The description appropriately doesn't discuss parameters since none exist, which is correct for this tool configuration.

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 ('returns the current permission state') and resources ('server'), distinguishing it from sibling tools that focus on file operations, JSON/XML processing, or directory listings. It explicitly identifies what information is returned (allowed operations and read-only/full access status).

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

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

The description provides explicit guidance on when to use this tool ('to understand what operations are permitted before attempting them'), creating a clear usage context distinct from all sibling tools. It effectively positions this as a prerequisite check tool rather than an operational 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?

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions the 'maxBytes' parameter constraint and path restrictions ('within allowed directories'), which are useful. However, it doesn't describe error handling, performance characteristics, or what happens when conditions aren't met, leaving gaps for a mutation-like filtering 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 appropriately sized with three sentences that each add value: core functionality, parameter note, and use case. It's front-loaded with the main purpose. Minor room for improvement in flow, but overall efficient with zero waste.

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 5 parameters, 100% schema coverage, and no output schema, the description provides adequate context on what the tool does but lacks details on output format, error cases, or integration with sibling tools. It's minimally complete but could better address the tool's role in the broader JSON toolset.

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 schema already documents all parameters thoroughly. The description adds minimal value beyond the schema, mentioning 'maxBytes' default and path restrictions but not elaborating on parameter interactions or usage examples. Baseline 3 is appropriate when schema does the heavy lifting.

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 ('filter JSON array data') and resources ('JSON array data'), distinguishing it from siblings like json_get_value (extracts values) or json_validate (validates structure). It explicitly mentions the filtering capability with conditions and operators.

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 context ('Perfect for filtering collections of objects based on their properties') but doesn't explicitly state when to use this tool versus alternatives like json_search_kv or json_query. No guidance on prerequisites or exclusions is provided, leaving usage somewhat ambiguous.

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 the return format ('Returns the value directly, properly formatted'), the maxBytes parameter behavior, and the directory restriction. However, it doesn't mention error handling, performance characteristics, or what happens with invalid paths or files.

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 that each earn their place: purpose statement, technical details (notation and parameter), and return behavior with constraints. No wasted words, front-loaded with the core functionality.

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-only tool with no output schema and 100% schema coverage, the description provides adequate context about what the tool does, how to use it, and constraints. The main gap is the lack of output format details beyond 'properly formatted,' but given the tool's relative simplicity and good parameter documentation, this is acceptable.

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 schema already fully documents all three parameters. The description adds minimal value beyond the schema - it mentions the maxBytes default (10KB) which is also in the schema, and reinforces the field parameter's purpose. Baseline 3 is appropriate when the schema does the heavy lifting.

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 ('Get a specific value'), resource ('from a JSON file'), and method ('using a field path'), distinguishing it from sibling tools like json_query or json_filter which have different purposes. It explicitly mentions dot notation and array indices for accessing nested properties.

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 (to retrieve a specific value from JSON files using path notation) and mentions the 'path must be within allowed directories' constraint. However, it doesn't explicitly contrast when to use this versus alternatives like json_query or json_filter among the many sibling tools.

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

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

With no annotations provided, the description carries full burden for behavioral disclosure. It mentions 'Requires `maxBytes` parameter (default 10KB)' and directory restrictions, but lacks critical details like error handling, performance implications, memory usage, or output format. For a query tool with zero annotation coverage, this leaves significant behavioral gaps.

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 each add value: purpose, capabilities, and constraints. It's front-loaded with the core function and avoids redundancy. Minor improvement could come from slightly tighter phrasing, but it's efficient overall.

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 (JSON querying with multiple parameters), no annotations, and no output schema, the description is incomplete. It doesn't explain what the tool returns (e.g., matched values, arrays, or errors), how results are formatted, or provide examples. For a query tool in a JSON-heavy sibling set, more context is needed for effective 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?

Schema description coverage is 100%, so the schema fully documents all three parameters. The description adds minimal value by noting the default for maxBytes and the directory restriction for path, but doesn't provide additional syntax examples or constraints beyond what's in the schema. This meets the baseline 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 clearly states the tool's purpose: 'Query JSON data using JSONPath expressions' with 'powerful search capabilities for selecting data within JSON structures.' It specifies the verb (query) and resource (JSON data) but doesn't explicitly differentiate from sibling JSON tools like json_filter or json_get_value, which prevents a perfect score.

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 minimal usage guidance. It mentions 'Supports standard JSONPath syntax' and 'The path must be within allowed directories,' but offers no explicit advice on when to use this tool versus alternatives like json_filter or json_search_kv. No context about when-not-to-use or comparisons with siblings is included.

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 key behavioral traits: it requires maxBytes parameter with a default (10KB), returns a random sample, and has path restrictions. However, it doesn't mention error handling, performance implications, or what happens with invalid arrayPath. It adds useful context but leaves 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 appropriately sized with three concise sentences. It's front-loaded with the core purpose, followed by parameter requirements and constraints. No wasted words, though it could be slightly more structured for clarity.

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 5-parameter tool with no annotations and no output schema, the description provides adequate but incomplete context. It covers the basic operation and key constraints but lacks details on return format, error cases, and how sampling interacts with the JSON structure. Given the complexity, it should do more to compensate for missing structured data.

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%, providing detailed documentation for all 5 parameters. The description adds minimal value beyond the schema, mentioning only maxBytes default and path restrictions. It doesn't explain parameter interactions or provide additional semantic context, so 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 specific action ('Sample JSON data'), resource ('from a JSON file'), and scope ('random sample'). It distinguishes from siblings like json_filter, json_query, and json_get_value by focusing on sampling rather than filtering, querying, or extracting specific values.

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 sampling JSON data but doesn't explicitly state when to use this tool versus alternatives like json_filter or json_query. It mentions the path must be within allowed directories, which provides some context, but lacks explicit guidance on when to choose sampling over other JSON 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 mentions three default parameter values (maxBytes, maxDepth, maxResults) and the path restriction, which adds useful context beyond the schema. However, it doesn't describe important behavioral aspects like error handling, performance characteristics, or what happens with large result sets.

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 concise at three sentences. It's front-loaded with the core purpose, followed by parameter defaults, then constraints. No wasted words, though it could be slightly more structured for clarity.

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 8 parameters and no output schema, the description provides basic operational context but lacks completeness. It doesn't explain the return format (what 'key-value pairs' look like in results), doesn't mention the 'matchType' parameter's significance, and doesn't address how results are structured or limited beyond maxResults.

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 schema already documents all 8 parameters thoroughly. The description mentions three parameters (maxBytes, maxDepth, maxResults) and their defaults, but this information is already in the schema descriptions. The description doesn't add meaningful semantic context 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 tool's purpose: 'Search for key-value pairs in JSON files within a directory.' It specifies the resource (JSON files) and action (search for key-value pairs). However, it doesn't explicitly differentiate from siblings like 'json_query' or 'json_filter' that might have overlapping functionality.

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 minimal usage guidance. It mentions 'The path must be within allowed directories' which is a constraint, but doesn't explain when to use this tool versus alternatives like 'json_query' or 'regex_search_content'. No explicit when/when-not guidance or named alternatives are 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 provided, the description carries the full burden of behavioral disclosure. It effectively describes key behaviors: the tool analyzes top-level keys and types, handles arrays specially, has default parameter values (10KB maxBytes, maxDepth 2), and requires path constraints ('within allowed directories'). It doesn't mention error handling or performance characteristics, but covers core operational aspects 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 four sentences: purpose, output format, use case, and parameter constraints. Each sentence adds distinct value without redundancy. It's appropriately sized for a tool with four 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 tool with no annotations and no output schema, the description provides good coverage of what the tool does, when to use it, and key behavioral constraints. It could be more complete by explicitly describing the output format in more detail or mentioning error cases, but it's substantially complete for understanding the tool's role among its many siblings.

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 schema already fully documents all four parameters. The description mentions maxBytes and maxDepth defaults and the path constraint, but doesn't add significant semantic meaning beyond what's in the schema descriptions. This meets the baseline expectation when schema coverage is complete.

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 ('Get the structure of a JSON file'), the resource ('JSON file'), and the output ('mapping of key names to their corresponding data types'). It distinguishes itself from siblings like json_sample or json_query by focusing on structural analysis rather than content extraction or querying.

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 ('useful for understanding the shape of large JSON files without loading their entire content'), but does not explicitly mention when not to use it or name specific alternatives among the many JSON-related sibling tools.

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

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It adds some context: it specifies that operations are applied in sequence and mentions the maxBytes parameter with a default (10KB), which hints at performance constraints. However, it lacks details on error handling, output format, memory limits, or side effects (e.g., whether it modifies files or just returns transformed data). This partial disclosure is adequate but leaves gaps for a mutation-like 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 appropriately concise and front-loaded: the first sentence states the core purpose, followed by supporting details in a logical flow. However, the second sentence lists operations without prioritization, and the third mixes parameter info with path constraints, slightly reducing clarity. Overall, it's efficient with minimal waste, though minor restructuring could improve readability.

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 (transforming JSON with multiple operations) and lack of annotations or output schema, the description is moderately complete. It covers the transformation process and key constraints but omits details on output structure, error cases, and performance implications. For a tool with no output schema and behavioral gaps, this leaves the agent under-informed, though the core functionality is adequately described.

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 schema already documents all three parameters (path, operations, maxBytes) thoroughly. The description adds marginal value by reiterating the maxBytes default and hinting at the path constraint ('within allowed directories'), but doesn't provide additional syntax, examples, or nuances beyond the schema. This meets the baseline for high schema coverage without enhancing parameter understanding significantly.

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: 'Transform JSON data using a sequence of operations' with specific examples like mapping, grouping, sorting, flattening, and picking/omitting fields. It distinguishes from siblings like json_filter, json_query, and json_structure by emphasizing transformation rather than filtering, querying, or analyzing structure. However, it doesn't explicitly contrast with all siblings (e.g., json_get_value, json_sample), keeping it from a perfect score.

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 minimal usage guidance: it mentions that the path must be within allowed directories, implying a constraint, but offers no explicit when-to-use advice. It doesn't differentiate when to choose this tool over alternatives like json_filter or json_query, nor does it mention prerequisites or exclusions. This lack of comparative context leaves the agent with little guidance on optimal tool selection.

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 behaviors: the validation outcome (returns true/false), a default value for maxBytes (10KB), and a security constraint (path within allowed directories). However, it lacks details on error handling, performance implications, or rate limits, which would be beneficial for a tool with file operations.

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, with the core purpose stated first, followed by key parameters and constraints in clear sentences. Every sentence earns its place by adding necessary information 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 complexity (file-based JSON validation with security constraints) and no output schema, the description is mostly complete. It covers the purpose, key parameters, and constraints, but could improve by detailing the return format (e.g., error messages on failure) or handling of large files. With no annotations, it does well 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 100%, so the schema already documents all parameters thoroughly. The description adds minimal value beyond the schema by mentioning the default for maxBytes and the path constraint, but it does not provide additional syntax or format details. This meets the baseline 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 clearly states the tool's purpose with specific verb ('validate') and resource ('JSON data against a JSON schema'), distinguishing it from sibling tools like json_filter, json_query, or json_transform which perform different operations on JSON. It precisely communicates the validation function without ambiguity.

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

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

The description implies usage by mentioning 'The path must be within allowed directories,' which hints at a constraint, but it does not explicitly state when to use this tool versus alternatives like json_structure or json_query for schema-related tasks. No clear exclusions or named alternatives are provided, leaving some ambiguity about optimal use cases.

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. It states the return value ('Returns the list') and implies read-only behavior. It does not describe the return format or error cases, but for a zero-parameter getter this is sufficient.

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 concise sentences with no redundant information. The main function is front-loaded, and the second sentence adds practical usage guidance without bloat.

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 no parameters and no output schema, the description adequately covers what it returns and when to use it. A minor gap is the lack of return format specification, but this is not critical for a discovery list.

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

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

The tool has zero parameters and the schema coverage is 100% (empty). Baseline for 0 params is 4, and there is no additional parameter semantics to explain.

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 the tool returns a list of allowed directories, using a specific verb ('Returns') and resource ('directories'). It distinguishes from sibling tools like list_directory by specifying 'allowed to access' rather than listing contents of a given path.

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 explicit guidance to use this tool before accessing files, making the intended use case clear. It does not name alternatives or exclusions, but the context of sibling file-access tools makes the usage obvious.

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 adds useful behavioral details: results are prefixed with [FILE] and [DIR], and the tool is restricted to allowed directories. However, it omits other potentially relevant behaviors like recursion, hidden files, or error handling for invalid paths, so transparency is moderate.

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 concise (4 sentences) and each sentence earns its place: purpose, output format, usage context, and a critical constraint. There is no fluff or redundant information, and it is well-structured with front-loaded 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?

For a simple tool with one parameter and no output schema, the description covers the main aspects: what it does, what results look like, and a usage constraint. It is mostly complete, though it could mention whether the listing is recursive or only immediate children, but given the tool's simplicity, it is sufficiently complete.

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% with only a single 'path' parameter. The description compensates somewhat by implying the path should be a directory ('...in a specified path') and adding the constraint about allowed directories. However, it does not clarify whether the path must be absolute, relative, or what happens for nonexistent paths, so the compensation is partial.

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: 'Get a detailed listing of all files and directories in a specified path.' This is a specific verb+resource that uniquely identifies the tool as a directory listing operation, distinguishing it from siblings like read_file (content) or search_files.

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 context on when to use the tool: 'essential for understanding directory structure and finding specific files within a directory.' It also notes the constraint 'Only works within allowed directories,' giving clear usage boundaries. It does not explicitly name alternatives, but the purpose is clear enough for an agent to choose it appropriately.

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 useful behavioral traits: handles various text encodings, provides detailed error messages, and has directory restrictions. However, it doesn't mention performance characteristics, memory usage, or what happens with very large files beyond the maxBytes parameter.

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?

Three sentences with zero waste. The first states the core functionality, the second adds behavioral context, and the third provides usage guidance and constraints. Every sentence earns its place and the description is appropriately sized.

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 2 parameters, no annotations, and no output schema, the description provides basic functionality and constraints. However, it doesn't explain return format, encoding details, or error handling specifics. Given the complexity and lack of structured data, it should do more to be complete.

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 maxBytes has a description). The description adds that 'Requires maxBytes parameter' but doesn't explain the 'path' parameter beyond what's in the schema. It provides some context about the tool's constraints but doesn't fully compensate for the undocumented 'path' parameter.

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 ('single file'). It distinguishes from sibling tools like 'read_multiple_files' by specifying 'single file' and from 'get_file_info' by focusing on content rather than metadata.

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 ('when you need to examine the contents of a single file') and mentions constraints ('Only works within allowed directories'). However, it doesn't explicitly state when NOT to use it or name specific alternatives among the many sibling tools.

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

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It effectively describes key traits: partial failure tolerance ('failed reads for individual files won't stop the entire operation'), output format ('each file's content is returned with its path as a reference'), and a constraint ('only works within allowed directories'). It lacks details on error handling or performance limits, but covers 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?

The description is front-loaded with the core purpose, followed by efficiency rationale, output details, failure behavior, and constraints in four concise sentences. Each sentence adds value without redundancy, 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 no annotations and no output schema, the description does a good job covering purpose, usage, behavior, and constraints for a 2-parameter tool. It could be more complete by detailing error responses or exact output structure, but it provides sufficient context for effective tool selection and 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 50% (only 'maxBytesPerFile' has a description). The description compensates by explicitly mentioning 'maxBytesPerFile' as required and implying 'paths' through 'multiple files,' though it doesn't fully explain the 'paths' parameter's format or constraints. This adds meaningful context beyond the schema, especially for the undocumented parameter.

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 contents of multiple files simultaneously'), distinguishes it from the sibling 'read_file' tool by emphasizing batch efficiency, and explains the resource scope ('files'). It explicitly contrasts with the one-by-one approach, making the purpose unambiguous 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 for when to use this tool ('more efficient than reading files one by one when you need to analyze or compare multiple files') and mentions constraints ('only works within allowed directories'). However, it does not explicitly state when NOT to use it or name specific alternatives among the many sibling tools, which prevents 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 key behaviors: recursive searching through subdirectories, returning match details (files, line numbers, matching lines), directory restrictions ('only searches within allowed directories'), and the required 'regex' parameter. It doesn't mention error conditions, performance characteristics, or authentication needs, but covers the core 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 in three sentences: first states the core purpose and behavior, second lists parameters, third adds important constraint. Every sentence earns its place by providing essential information without redundancy. It's appropriately sized for a tool with 6 parameters and complex behavior.

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 no annotations and no output schema, the description provides good coverage of what the tool does, how it behaves, and its constraints. It doesn't describe the exact return format structure (though it mentions 'list of files containing matches, including line numbers and matching lines'), and lacks information about error handling or performance limits beyond the parameter defaults. However, given the complexity and lack of structured metadata, it's reasonably complete.

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 schema already fully documents all 6 parameters. The description mentions all parameters by name and indicates which is required ('regex') and which are optional, but doesn't add meaningful semantic context beyond what the schema provides. The baseline of 3 is appropriate when the schema does the heavy lifting.

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 file content using a regex pattern') and resource ('files'). It distinguishes itself from siblings like 'search_files' (which likely searches by filename) by specifying content-based regex searching, and from 'read_file' by being a search rather than read 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?

The description provides clear context about when to use this tool ('search file content using a regex pattern' and 'recursively search through subdirectories'). It doesn't explicitly mention when NOT to use it or name specific alternatives, but the context is sufficient to understand its specialized regex content search purpose versus 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 the full burden and does well by disclosing key behavioral traits: it's recursive, case-insensitive, matches partial names, returns full paths, has defaults for maxDepth and maxResults, and is restricted to allowed directories. It doesn't mention error handling, performance characteristics, or authentication needs, keeping it from a perfect score.

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 key behavioral details and usage context in just four sentences. Every sentence adds value without redundancy, making it efficient 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 tool with 5 parameters, no annotations, and no output schema, the description does a good job covering the essential behavior and usage. It explains the search mechanics, constraints, and key parameters, though it could benefit from more detail on parameter interactions or example patterns to be fully complete.

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 at 40%, but the description adds value by explaining maxDepth and maxResults parameters (including defaults), which aren't described in the schema. However, it doesn't cover other parameters like excludePatterns or path/pattern details, leaving gaps that the schema doesn't fill either.

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 matching a pattern') and resources ('files and directories'), distinguishing it from siblings like list_directory (which lists without searching) or regex_search_content (which searches within file content rather than by name).

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 ('Great for finding files when you don't know their exact location') and mentions constraints ('Only searches within allowed directories'), but doesn't explicitly compare it to alternatives like find_files_by_extension or directory_tree, which might offer different search capabilities.

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

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

With no annotations provided, the description carries the full burden and does well by disclosing key behavioral traits: powerful search without reading entire files into memory, support for XPath 1.0 syntax, default maxBytes of 10KB, and path restrictions. It doesn't cover error handling, performance characteristics, or output format details.

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 that each add value: states purpose, explains capabilities, specifies parameter requirement, and provides usage context. No wasted words, 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 query tool with 5 parameters, no annotations, and no output schema, the description is adequate but has gaps. It covers the core functionality and constraints well, but doesn't describe what the output looks like (structure, format, error cases) or provide examples of effective XPath queries.

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 schema already documents all 5 parameters thoroughly. The description adds minimal value beyond the schema - it mentions the maxBytes parameter and default, but doesn't provide additional semantic context about how parameters interact or affect results.

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: 'Query XML file using XPath expressions' with specific capabilities like finding elements, attributes, and text content. It distinguishes from siblings like xml_structure (structure analysis) and xml_to_json_string (format conversion) by emphasizing search/extraction functionality.

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: for extracting specific data from large XML files with precise queries. It mentions the requirement for paths within allowed directories, but doesn't explicitly state when NOT to use it or name alternatives like xml_structure for structural analysis.

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 beyond basic functionality, such as the constraint that 'The path must be within allowed directories' and that it analyzes 'without reading the entire file'. However, it lacks details on error handling, performance implications, or output format specifics, which are important for a tool with no output schema.

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

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

The description is efficiently structured with four sentences that each add value: stating the purpose, output, usage context, and key parameters. It is front-loaded with the core functionality 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 the tool's complexity (analyzing XML structure with constraints) and lack of annotations or output schema, the description does a good job covering purpose, usage, and key behavioral traits. However, it could be more complete by detailing the output format or error cases, which would help compensate for the missing structured data.

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 schema already documents all parameters thoroughly. The description adds minimal value by mentioning defaults for maxBytes and maxDepth, but does not provide additional semantic context beyond what the schema specifies. This meets the baseline 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 clearly states the specific action ('Analyze XML file structure') and resource ('XML file'), distinguishing it from sibling tools like xml_query or xml_to_json_string. It explicitly mentions what it returns ('statistical information about element counts, attribute usage, namespaces, and hierarchical structure'), making the purpose distinct and well-defined.

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 ('Useful for understanding the structure of large XML files before performing detailed queries'), which helps differentiate it from other XML tools. However, it does not explicitly state when not to use it or name specific alternatives among siblings, such as xml_query for detailed queries.

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

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

With no annotations provided, the description carries the full burden and does well by disclosing key behavioral traits: it's a read-only operation ('only reads the XML file'), has a size constraint ('maxBytes parameter'), uses a specific parser ('fast-xml-parser'), and has path restrictions ('within allowed directories'). It could improve by mentioning error handling or performance characteristics.

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 with the core purpose in the first sentence. Each subsequent sentence adds useful context about parameters, implementation, and constraints. Minor redundancy exists in mentioning maxBytes twice, but overall it's 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?

For a 3-parameter tool with no annotations and no output schema, the description covers the essential behavior and constraints adequately. However, it lacks details about the JSON output format, error conditions, or how the conversion handles malformed XML, which would be helpful given the missing 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 67%, and the description adds some value by explaining the purpose of maxBytes ('default 10KB') and mentioning the xmlPath requirement. However, it doesn't elaborate on the options parameter's semantics beyond what the schema provides, leaving gaps in understanding the conversion behavior.

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 ('Convert an XML file to a JSON string and return it directly') and distinguishes it from siblings like xml_query or xml_structure by emphasizing direct conversion without file creation. It explicitly mentions the resource (XML file) and output format (JSON string).

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 ('quickly inspecting XML content as JSON without creating a new file'), which differentiates it from file-reading or querying siblings. However, it doesn't explicitly state when NOT to use it or name specific alternatives like xml_query for more complex operations.

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