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

With no annotations provided, the description carries full burden but offers minimal behavioral context. It mentions retrieving detailed information but doesn't disclose authentication requirements (token is optional but not explained), rate limits, error conditions, or what format the information returns. The description doesn't contradict annotations since none exist, but provides inadequate behavioral transparency for a tool that likely interacts with an API system.

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

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

The description is a single, efficient sentence that states the core purpose. It's appropriately concise without being overly brief. However, it could be slightly more front-loaded by explicitly mentioning it retrieves by ID to distinguish from the URL-based sibling.

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 is insufficient. It doesn't explain what 'detailed information' includes beyond listing some components, doesn't mention authentication context despite the token parameter, and provides no guidance on error handling or response format. The description should do more to compensate for the lack 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 100%, so the schema already documents both parameters thoroughly. The description adds no additional parameter semantics beyond what's in the schema - it doesn't explain interface_id format, token usage scenarios, or provide 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: '获取YApi接口的详细信息' (get detailed information of a YApi interface) with specific components mentioned (request parameters, response parameters, request examples). It distinguishes from siblings like yapi_list_interfaces (list) and yapi_search_interface (search), but doesn't explicitly differentiate from yapi_get_interface_by_url which likely retrieves by URL instead of ID.

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

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

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention when to choose this over yapi_get_interface_by_url (likely similar functionality with different input) or yapi_search_interface (broader search capability). No context about prerequisites or typical use cases is provided.

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

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions that the token parameter is '可选' (optional) for accessing private projects, which adds some context about authentication needs. However, it doesn't describe what '详细信息' (detailed information) includes, potential rate limits, error conditions, or whether this is a read-only operation (though '获取' implies reading).

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 with two sentences. The first sentence states the purpose, and the second provides usage guidance with a concrete example. There's no wasted text, and information is front-loaded. It could be slightly more structured by explicitly separating purpose from usage.

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

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

Given the tool has 2 parameters with full schema coverage but no annotations and no output schema, the description is minimally adequate. It covers the basic purpose and usage but lacks details about what '详细信息' includes in the response, error handling, or behavioral constraints. For a tool that fetches data, more context about the return format would be 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 100%, so both parameters are already documented in the schema. The description adds minimal value beyond the schema: it reinforces the URL format example and mentions the token is for private projects. Since the schema does the heavy lifting, the baseline score of 3 is appropriate.

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

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

The description clearly states the tool's purpose: '通过YApi接口URL获取详细信息' (get detailed information through YApi interface URL). It specifies the verb '获取' (get) and resource '详细信息' (detailed information) for YApi interfaces. However, it doesn't explicitly differentiate from sibling tools like 'yapi_get_interface' (which likely uses ID instead of URL) or 'yapi_search_interface'.

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 implied usage guidance by stating it '支持直接粘贴YApi链接' (supports directly pasting YApi links) with an example URL format. This suggests when to use this tool (when you have a full URL). However, it doesn't explicitly state when NOT to use it or mention alternatives like 'yapi_get_interface' (which might use an ID parameter instead).

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

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states it 'gets' information, implying a read-only operation, but doesn't specify authentication needs (e.g., token usage), rate limits, or response format. This is a significant gap 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 a single, efficient sentence that front-loads the purpose and lists retrieved information. It avoids redundancy, though it could be slightly more structured by separating usage context.

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 (2 parameters, no output schema, no annotations), the description is minimally adequate. It covers the purpose but lacks behavioral details and usage guidelines, making it incomplete for optimal agent understanding without additional 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 100%, so the schema already documents both parameters ('project_id' and optional 'token'). The description adds no additional meaning beyond what the schema provides, such as explaining token usage or project_id format, resulting in the baseline score.

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

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

The description clearly states the action ('获取' meaning 'get') and resource ('YApi项目的基本信息' meaning 'basic information of YApi project'), specifying what information is retrieved (project name, description, members). It distinguishes from siblings like 'yapi_get_interface' by focusing on projects rather than interfaces, though it doesn't explicitly contrast them.

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

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

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention sibling tools like 'yapi_get_interface' or 'yapi_list_interfaces', nor does it specify prerequisites or exclusions, leaving usage context implied.

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 full burden. It mentions '获取' (get) which suggests a read operation, but doesn't disclose behavioral traits like authentication needs (token parameter is optional but not explained), rate limits, pagination, or what the output looks like (no output schema). For a list operation with no annotations, this is a significant gap.

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

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

The description is a single, efficient sentence in Chinese that directly states the tool's purpose without any fluff. It's appropriately sized and front-loaded, with every word contributing to understanding the action and scope.

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 3 parameters (with 100% schema coverage but no behavioral context), the description is incomplete. It doesn't explain the return format, error handling, or how to interpret results (e.g., list structure). For a list tool with siblings, more context on usage and output is needed.

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 (project_id, cat_id, token). The description adds no additional meaning beyond what's in the schema (e.g., it doesn't explain relationships between project_id and cat_id or token usage). Baseline is 3 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 action ('获取' meaning 'get') and resource ('接口列表' meaning 'interface list') with scope ('YApi项目或分类下' meaning 'under YApi project or category'). It distinguishes from siblings like yapi_get_interface (single interface) and yapi_search_interface (search), but doesn't explicitly mention these distinctions. The purpose is specific and actionable.

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

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

No guidance on when to use this tool versus alternatives like yapi_search_interface or yapi_get_interface_by_url. The description implies it lists interfaces under a project or category, but doesn't specify scenarios (e.g., for browsing vs. searching) or prerequisites. Usage is implied from context but not explicitly stated.

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

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

No annotations are provided, so the description carries full burden. It states the tool searches interfaces but doesn't disclose behavioral traits like whether it's read-only (implied but not explicit), pagination behavior, rate limits, authentication requirements (though 'token' is optional in schema), or what happens if no results are found. For a search tool with zero annotation coverage, this is a significant gap in transparency.

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

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

The description is a single, efficient sentence in Chinese: '在YApi项目中搜索接口,支持按接口名称、路径搜索'. It's front-loaded with the core purpose and includes a useful detail (search by name/path) without unnecessary elaboration. Every word earns its place, making it highly concise 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 (search function with 3 parameters), no annotations, and no output schema, the description is minimally adequate. It covers the basic purpose and search criteria but lacks details on behavior, output format, error handling, or sibling tool differentiation. It meets the bare minimum for a search tool but leaves gaps that could hinder effective agent 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 already documents all three parameters ('project_id', 'keyword', 'token'). The description adds marginal value by mentioning search by interface name and path, which relates to the 'keyword' parameter but doesn't provide additional syntax or format details beyond what the schema implies. 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: '在YApi项目中搜索接口' (search for interfaces in YApi projects). It specifies the action (搜索/search) and resource (接口/interfaces) with scope (YApi项目中/in YApi projects). However, it doesn't explicitly differentiate from sibling tools like 'yapi_list_interfaces' or 'yapi_get_interface_by_url', which likely have different search/filtering approaches.

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 supporting search by interface name and path, but offers no explicit when-to-use instructions, prerequisites, or alternatives. There's no comparison with sibling tools (e.g., 'yapi_list_interfaces' might list all interfaces without filtering), leaving the agent to infer usage context.

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