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andyleimc-source

Tencent Ad MCP Server

Server Quality Checklist

58%
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  • Latest release: v0.1.0

  • Disambiguation5/5

    Each tool targets a distinct resource and action (e.g., advertiser_add, adgroups_get, images_delete). Even within the same resource like adgroups, operations are clearly separated into get, add, update, delete, status update, budget update, bid update. No overlapping functionalities.

    Naming Consistency5/5

    All tool names follow a consistent snake_case verb_noun pattern (e.g., videos_get, custom_audiences_add, async_reports_get). No mixing of conventions like camelCase or different verb styles.

    Tool Count2/5

    With 42 tools, the server exceeds the 25+ threshold for 'too many' per the calibration. While each tool serves a purpose, the large number may overwhelm agents and suggests scope creep.

    Completeness4/5

    Most CRUD operations are covered for major resources (advertisers, ad groups, creatives, images, audiences, leads). Minor gaps exist: missing videos_add, advertiser_delete, and targeting_update/add, but these are not critical for core workflows.

  • Average 2.8/5 across 42 of 42 tools scored. Lowest: 1.3/5.

    See the Tool Scores section below for per-tool breakdowns.

    • 1 of 1 community issues answered or closed in the last 6 months
    • 0 commits in the last 12 weeks
    • No stable releases found
    • No critical vulnerability alerts
    • No high-severity vulnerability alerts
    • No code scanning findings
    • CI status not available
  • This repository is licensed under Apache 2.0.

  • This repository includes a README.md file.

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How is the quality score calculated?

The overall quality score combines two components: Tool Definition Quality (70%) and Server Coherence (30%).

Tool Definition Quality measures how well each tool describes itself to AI agents. Every tool is scored 1–5 across six dimensions: Purpose Clarity (25%), Usage Guidelines (20%), Behavioral Transparency (20%), Parameter Semantics (15%), Conciseness & Structure (10%), and Contextual Completeness (10%). The server-level definition quality score is calculated as 60% mean TDQS + 40% minimum TDQS, so a single poorly described tool pulls the score down.

Server Coherence evaluates how well the tools work together as a set, scoring four dimensions equally: Disambiguation (can agents tell tools apart?), Naming Consistency, Tool Count Appropriateness, and Completeness (are there gaps in the tool surface?).

Tiers are derived from the overall score: A (≥3.5), B (≥3.0), C (≥2.0), D (≥1.0), F (<1.0). B and above is considered passing.

Tool Scores

  • Behavior1/5

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

    No annotations exist, and the description offers no behavioral details—e.g., whether the operation is read-only, pagination behavior, required permissions, or response format. The agent is left entirely in the dark.

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

    Conciseness2/5

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

    Extremely short—but this is under-specification, not conciseness. The description is just a name repetition and does not earn its place as a separate content block.

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

    Completeness1/5

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

    The tool has 6 parameters with nested objects, no output schema, and no annotations. The description provides no context about expected behavior, return values, or how to effectively use the tool. Completely inadequate.

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

    Parameters1/5

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

    With only 17% schema coverage, the description should compensate but adds nothing. It does not explain the meaning, constraints, or usage of any parameter, including required ones like account_id and time_range.

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

    Purpose2/5

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

    The description is a tautology: '获取线索列表 (Get leads list)' essentially restates the tool name. It does not differentiate from sibling tools like leads_add, leads_update, or leads_claim_update.

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

    Usage Guidelines1/5

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

    No usage context is provided. The description does not specify when to use this tool over alternatives, such as other leads-related tools or tools for different resources.

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

  • Behavior2/5

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

    With no annotations, the description should disclose behavioral traits. It only says 'create ad group' with no mention of side effects, permissions, or limits.

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

    Conciseness2/5

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

    The description is very concise but under-specified. It does not earn its place as it adds minimal value over the name.

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

    Completeness1/5

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

    Given 14 parameters, no output schema, and no annotations, the description is completely inadequate to help the agent understand the tool's usage.

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

    Parameters3/5

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

    Schema description coverage is 100%, so baseline is 3. The description adds no additional parameter meaning beyond the schema.

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

    Purpose2/5

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

    The description states 'Create ad group', which is a verb+resource but is essentially a translation of the name. It does not differentiate from sibling tools like adgroups_update or adgroups_get.

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

    Usage Guidelines2/5

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

    No guidance is provided on when to use this tool versus alternatives, nor any prerequisites or restrictions.

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

  • Behavior1/5

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

    No annotations are provided, and the description adds no behavioral context. There is no mention of error handling, rate limits, or what happens if the task does not exist. This is a significant gap for a tool querying status.

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

    Conciseness3/5

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

    The description is very concise at one line, which is good for brevity. However, it lacks structure such as sections or bullet points. The information provided is minimal but not verbose.

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

    Completeness1/5

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

    Given the tool has 4 parameters, no output schema, and no annotations, the description is severely incomplete. It does not explain return values, pagination behavior, or filtering format, making it insufficient for an agent to use correctly without additional context.

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

    Parameters1/5

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

    Schema description coverage is only 25% (only account_id has a description). The tool description does not elaborate on any parameters, leaving the agent to guess the meaning of page, filtering, and page_size. This is insufficient for proper invocation.

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

    Purpose4/5

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

    The description clearly states 'query async report task status' in both Chinese and English. It identifies the specific verb (get) and resource (async report status), distinguishing it from siblings like async_reports_add and async_report_files_get. However, it could be more precise about what status information is returned.

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

    Usage Guidelines2/5

    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. It is implied that it should be called after creating an async report, but there is no explicit context, exclusions, or mention of prerequisites like task ID requirements.

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

  • Behavior1/5

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

    No annotations are provided, so the description must disclose behavioral traits. It only says 'Update ad group' with no mention of idempotency, side effects, authentication requirements, or what happens to unspecified fields.

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

    Conciseness2/5

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

    The description is extremely concise (one short sentence) but at the cost of omitting essential details. It lacks structure and does not efficiently convey how the tool works.

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

    Completeness1/5

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

    With 8 parameters, no output schema, and no annotations, the description is severely incomplete. It fails to explain update behavior (partial vs full update), required fields, or response format.

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

    Parameters3/5

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

    The input schema has 100% description coverage for all 8 parameters, so the schema already defines each parameter's meaning. The description adds no additional parameter semantics beyond what the schema provides, meeting the baseline.

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

    Purpose4/5

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

    The description clearly states the verb ('Update') and resource ('ad group'), making the tool's basic purpose evident. However, it does not distinguish this general update tool from sibling tools like 'adgroups_update_configured_status' or 'adgroups_update_daily_budget', which have more specific purposes.

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

    Usage Guidelines2/5

    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 its specialized siblings. It lacks any context about prerequisites, appropriate use cases, or when to avoid it.

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

  • Behavior2/5

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

    The description implies a mutation action (claiming a lead) but discloses no behavioral traits such as side effects, required permissions, or rate limits. With no annotations present, the description fails to compensate by providing essential behavioral context.

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

    Conciseness2/5

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

    The description is extremely short (a single phrase), which could be seen as concise, but it sacrifices informative content. Every sentence should add value, but this one sentence lacks sufficient detail, making it under-specified rather than effectively concise.

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

    Completeness2/5

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

    Given the tool's simplicity (2 params, no nested objects, no output schema), the description is still inadequate. It fails to explain return values, preconditions, or post-conditions, leaving the agent uncertain about the tool's full behavior.

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

    Parameters3/5

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

    The input schema already describes both parameters (account_id, lead_clue_id) with Chinese labels, achieving 100% coverage. The description adds no additional meaning or usage hints beyond what the schema provides, meeting the baseline expectation.

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

    Purpose3/5

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

    The description states 'Claim lead', which conveys a specific action on a lead resource. However, it does not clarify what 'claim' entails (e.g., assignment, status change) compared to sibling tools like leads_update, which could handle general updates. Thus the purpose is vague and lacks differentiation from siblings.

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

    Usage Guidelines2/5

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

    No guidance is provided on when to use this tool versus alternatives such as leads_add or leads_update. The description lacks context about prerequisites or scenarios, leaving the agent without decision support.

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

  • Behavior2/5

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

    No annotations are provided, and the description does not disclose behavioral traits such as authentication requirements, rate limits, or whether the operation is read-only. The tool name implies a GET, but this is not stated.

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

    Conciseness2/5

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

    Extremely concise (one line), but this comes at the cost of missing essential details. It lacks structure and front-loading of critical information.

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

    Completeness2/5

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

    Given the absence of annotations, output schema, and parameter descriptions for half the parameters, the description is insufficient for an agent to fully understand the tool's behavior and expectations.

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

    Parameters2/5

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

    Schema description coverage is 50% (only 'fields' and 'account_id' have descriptions). The description adds no meaning beyond the schema; it does not explain parameters like 'page' or 'page_size' or how they affect results.

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

    Purpose4/5

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

    The description '获取广告主信息 (Get advertiser info)' clearly indicates a read operation for advertiser information, distinguishing it from sibling tools like advertiser_add or advertiser_update. However, it does not specify whether it retrieves a single advertiser or a list, which is slightly vague.

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

    Usage Guidelines2/5

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

    No guidance is provided on when to use this tool versus alternatives. Sibling tools include various advertiser operations, but the description lacks explicit context or conditions for selection.

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

  • Behavior2/5

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

    With no annotations provided, the description must disclose behavioral traits. It only states 'Get daily reports', with no mention of read-only nature, authentication, rate limits, or side effects. This is insufficient for an AI agent to infer safety or constraints.

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

    Conciseness3/5

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

    The description is concise (one short line) but lacks structure. It is not verbose, but the brevity sacrifices clarity. It earns its place by being non-redundant, but could be expanded.

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

    Completeness1/5

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

    Given the tool's complexity (9 parameters, nested objects, no output schema), the description is severely incomplete. It does not explain return values, pagination behavior, filtering, or report content. An AI agent would lack critical context to use it effectively.

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

    Parameters2/5

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

    The description adds no parameter-specific information beyond what is already in the input schema. With 56% schema description coverage, the description should compensate but does not. It merely restates the tool's purpose.

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

    Purpose4/5

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

    The description explicitly states '获取日报表数据 (Get daily reports)', clearly indicating it retrieves daily report data. It distinguishes itself from sibling tools like 'hourly_reports_get' and 'async_reports_add' by specifying 'daily', though it could be more precise about the type of reports (e.g., advertising).

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

    Usage Guidelines2/5

    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. Sibling tools like 'hourly_reports_get' and 'async_reports_add' exist, but the description does not clarify scenarios for choosing this tool over them. No when-not-to-use or context is provided.

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

  • Behavior2/5

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

    No annotations provided, so description fully responsible. It omits behavioral traits such as read-only nature, pagination, rate limits, or authentication needs. Only states the basic action.

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

    Conciseness3/5

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

    Single sentence, bilingual, no wasted words. However, it is too minimal for the complexity of the tool (5 parameters, potential pagination). Could be longer to add value.

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

    Completeness2/5

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

    Given no output schema, no annotations, and low param coverage, the description lacks explanation of return format, pagination behavior, or required permissions. Incomplete for effective use.

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

    Parameters2/5

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

    Schema description coverage is only 20% (account_id has description). The tool description adds no additional meaning to parameters like page, fields, filtering, page_size. With low coverage, description fails to compensate.

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

    Purpose4/5

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

    The description states the verb 'Get' and the resource 'custom audiences', clearly indicating a list retrieval operation. However, with siblings like custom_audiences_add, update, delete, it does not explicitly differentiate itself beyond the verb.

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

    Usage Guidelines2/5

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

    No guidance on when to use this tool vs alternatives like adgroups_get or custom_audiences_delete. No context about prerequisites, filters, or limitations.

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

  • Behavior2/5

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

    No annotations are present, so the description bears full burden. It merely states 'Get hourly reports', omitting details on read-only nature, pagination (page, page_size in schema but not explained), rate limits, or whether data is aggregated or detailed. The agent cannot judge safety or side effects.

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

    Conciseness3/5

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

    The description is very short (two equivalent phrases) but lacks structure. It is concise but at the cost of valuable information. It does not use headings, lists, or examples that could aid comprehension.

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

    Completeness2/5

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

    Given the tool's complexity (8 parameters, nested objects, no output schema), the description is severely incomplete. It does not explain return format, pagination behavior, error conditions, or how to interpret results. The agent would require additional knowledge to use this tool correctly.

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

    Parameters2/5

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

    Schema coverage is 63%, and the description adds no parameter explanations beyond what the schema provides. For example, 'level', 'group_by', 'fields', and 'filtering' are not described in the description text, leaving the agent without context on acceptable values or usage.

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

    Purpose4/5

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

    The description '获取时报表数据 (Get hourly reports)' clearly indicates the tool retrieves hourly report data. It distinguishes from sibling tools like daily_reports_get by specifying hourly granularity, but lacks detail on the report content (e.g., metrics, dimensions).

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

    Usage Guidelines2/5

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

    No guidance is provided on when to use this tool versus alternatives like daily_reports_get or async_reports_add/get. The description does not mention prerequisites, limitations (e.g., max date range of 3 days per schema), or differentiation between report types.

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

  • Behavior2/5

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

    No annotations exist, so description must cover behavioral traits. It does not disclose that upload_type must be one of two enums, that a signature (MD5) is required, or the upload result (e.g., returns image ID). Minimal transparency.

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

    Conciseness3/5

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

    The description is very short (one phrase), which is concise, but lacks structure and front-loading of key information. Every sentence earns its place, but could be improved.

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

    Completeness2/5

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

    Given 5 parameters, no output schema, and many sibling tools, the description omits important context like how to obtain the signature or what happens after upload. Incomplete for a tool with no annotations.

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

    Parameters2/5

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

    Schema coverage is 100% with good parameter descriptions, so baseline is 3. However, the description mentions 'base64' which is not in the schema, adding confusion. It adds little value beyond the schema.

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

    Purpose4/5

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

    The description clearly states 'Upload image via URL or base64', which identifies the action and resource. However, the input schema does not include a base64 parameter, causing minor inconsistency. It is distinct from sibling tools like images_get, images_delete.

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

    Usage Guidelines2/5

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

    No guidance on when to use this tool vs. alternatives (e.g., images_update for modifications). No prerequisites or usage context provided beyond the upload method.

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

  • Behavior2/5

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

    With no annotations provided, the description carries the full burden of behavioral disclosure. It only states 'Create custom audience' without mentioning prerequisites, side effects, or safety implications (e.g., that creation is irreversible or requires specific permissions).

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

    Conciseness2/5

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

    The description is extremely terse (two words plus translation), which is not concise but under-specified. It lacks structure and fails to earn its place by providing any useful guidance beyond the tool name.

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

    Completeness2/5

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

    Given four parameters and no output schema, the description is incomplete. It does not explain return values, validation rules, or prerequisites. The agent is left with insufficient context to correctly invoke the tool.

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

    Parameters3/5

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

    Schema coverage is 100%, so the baseline is 3. The description adds no additional meaning beyond the schema. Critical parameters like `audience_type` lack clarification on valid values or usage, which the description could have provided.

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

    Purpose4/5

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

    The description clearly states the verb 'Create' and the resource 'custom audience', which distinguishes it from sibling tools like get, update, delete. However, it lacks specificity about the type of custom audience (e.g., from file, from events) which would further clarify its purpose.

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

    Usage Guidelines2/5

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

    No guidance is provided on when to use this tool vs alternatives. The sibling list includes related tools like custom_audiences_get and custom_audiences_update, but the description offers no context to help an agent choose appropriately.

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

  • Behavior2/5

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

    No annotations provided, so description must disclose behavior. Only states 'Get targeting details' without clarifying if it returns a single item or list, read-only nature, auth requirements, or rate limits. Very limited behavioral info.

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

    Conciseness4/5

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

    Description is extremely short and front-loaded with the action. However, it is too terse for a tool with 3 parameters and no output schema. Concise but under-informative.

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

    Completeness2/5

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

    Given 3 parameters, no output schema, and no annotations, the description does not adequately cover the tool's behavior. Missing details on response format, parameter interaction, and use cases. Incomplete for successful invocation.

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

    Parameters2/5

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

    Schema coverage is 67% and description adds no parameter info beyond what is in schema. The 'fields' parameter lacks schema description and the tool description does not compensate. Does not clarify acceptable field values or behavior when targeting_id is omitted.

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

    Purpose4/5

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

    Description states 'Get targeting details' which is a clear verb+resource. No sibling targeting tools exist to confuse, so purpose is clear but lacks specificity about what 'targetings' refers to.

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

    Usage Guidelines2/5

    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. Does not mention prerequisites, context, or which scenarios are appropriate.

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

  • Behavior2/5

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

    No annotations are present, so the description must cover behavioral traits. It only states the purpose and does not disclose pagination behavior, rate limits, or what happens with empty results. The filtering parameter implies behavior but is not explained.

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

    Conciseness3/5

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

    The description is very short (two words in Chinese plus English translation). While concise, it lacks structure and essential details. Every sentence should add value, but here it is too sparse.

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

    Completeness2/5

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

    Given no output schema and low parameter coverage, the description is severely incomplete. It does not specify return format, pagination details, or how to use the filtering parameter. The agent would struggle to invoke this tool correctly.

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

    Parameters1/5

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

    Schema coverage is only 20% (only account_id described). The description adds no meaning to any parameter; it does not explain what 'page', 'fields', 'filtering', or 'page_size' do. This leaves the agent guessing.

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

    Purpose5/5

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

    The description clearly states the purpose: '获取视频素材列表 (Get videos)'. It is a specific verb+resource indicating retrieval of video material list, distinguishing it from siblings like videos_update and videos_delete.

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

    Usage Guidelines2/5

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

    No guidance is provided on when to use this tool versus alternatives like images_get or when not to use it. There are no prerequisites or context about its use case.

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

  • Behavior2/5

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

    With no annotations provided, the description bears full responsibility for behavioral disclosure. It merely states 'Update' without revealing side effects, required permissions, rate limits, or what happens upon success. This is insufficient for a mutation tool.

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

    Conciseness3/5

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

    The description is extremely concise at one sentence, but it does not waste words. However, it is too brief to adequately inform the agent, sacrificing substance for brevity.

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

    Completeness2/5

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

    The tool has no output schema, so the description should explain what the tool returns or what state changes occur. It provides none of this, leaving the agent without crucial context about the update's outcome.

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

    Parameters3/5

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

    The input schema has 100% description coverage, with each parameter already documented. The tool description adds no additional semantic value beyond what the schema provides, resulting in a baseline score of 3.

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

    Purpose4/5

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

    The description specifies the verb 'Update' and the resource 'advertiser info', making the basic purpose clear. It distinguishes from siblings like 'advertiser_add' (create) and 'advertiser_get' (read), but could be more explicit about which fields can be updated.

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

    Usage Guidelines2/5

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

    No guidance is provided on when to use this tool versus alternatives, such as the more specific 'advertiser_update_daily_budget'. The description lacks context on prerequisites or suitability.

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

  • Behavior1/5

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

    With no annotations, the description carries full burden but only says 'Delete image'. No disclosure of whether deletion is permanent, what happens to associated data, or access requirements.

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

    Conciseness3/5

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

    Extremely short, but appropriately front-loaded. However, it sacrifices completeness for brevity, earning a middling score.

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

    Completeness2/5

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

    For a delete operation with no output schema, the description lacks important context about the impact of deletion, confirmation steps, or error scenarios.

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

    Parameters3/5

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

    Schema coverage is 100% with descriptions for both parameters. The description adds no extra meaning beyond the schema, so baseline score applies.

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

    Purpose5/5

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

    The description explicitly states '删除图片素材 (Delete image)', clearly indicating the action (delete) and resource (image). It distinguishes itself from sibling tools like videos_delete or adgroups_delete.

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

    Usage Guidelines2/5

    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. No mention of prerequisites, side effects, or conditions for deletion.

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

  • Behavior2/5

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

    The description only says 'Update lead' without any behavioral details. Since no annotations are provided, it does not disclose side effects, permissions required, or what happens during the update.

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

    Conciseness3/5

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

    The description is extremely brief (one phrase). While concise, it lacks structure and sufficient information.

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

    Completeness2/5

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

    Given no output schema and three parameters, the description is incomplete. It does not explain what the update entails, which fields are modifiable, or what the response format is.

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

    Parameters3/5

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

    Schema coverage is 100% with parameter descriptions. The description adds no further semantic value beyond what the schema provides, so baseline score applies.

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

    Purpose4/5

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

    The description states 'Update lead' clearly indicating the verb and resource. It distinguishes from other lead tools like leads_add and leads_list_get, but does not explicitly differentiate from leads_claim_update.

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

    Usage Guidelines2/5

    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 such as leads_add or leads_claim_update. The context for use is implied but not stated.

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

  • Behavior2/5

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

    With no annotations, the description carries full burden for behavioral disclosure. 'Delete' implies irreversibility, but no details are given about permissions, consequences, or whether the action is idempotent. This is insufficient for a potentially destructive operation.

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

    Conciseness3/5

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

    The description is extremely concise (one line), which is efficient, but it lacks essential details that would make it earn its place. It is not verbose, but the brevity comes at the cost of completeness.

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

    Completeness2/5

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

    Given no output schema and no annotations, the description should provide more context about return values, error handling, or side effects. The current description is too sparse to fully inform an agent about the tool's behavior.

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

    Parameters3/5

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

    Schema coverage is 100% and the schema already describes both parameters (video_id and account_id). The description adds no additional meaning beyond the schema, so it achieves the baseline but does not enhance understanding.

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

    Purpose4/5

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

    The description explicitly states 'Delete video' which is a clear verb+resource combination. It distinguishes from sibling tools like images_delete and custom_audiences_delete by naming the resource 'video', but lacks specificity about scope or constraints.

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

    Usage Guidelines2/5

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

    No guidance is provided on when to use this tool versus alternatives (e.g., videos_update for modifications). There is no context about prerequisites or conditions for deletion.

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

  • Behavior2/5

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

    No annotations provided. Description only states the action without disclosing behavioral traits like authentication, rate limits, or the nature of previews (e.g., URLs). Minimal insight.

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

    Conciseness4/5

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

    Single line, efficient, and front-loaded. Could include more detail without being verbose, but current length is acceptable for a simple get operation.

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

    Completeness2/5

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

    Given two required parameters, no output schema, and no annotations, the description is too minimal. Lacks information about return format, pagination, or expected behavior.

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

    Parameters3/5

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

    Schema description coverage is 100%, so the baseline is 3. The main description adds no additional meaning beyond the parameter descriptions provided in the schema.

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

    Purpose4/5

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

    The description 'Get creative previews' clearly states the verb and resource. It is straightforward and distinguishes from siblings like dynamic_creatives_get, though it does not explicitly differentiate.

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

    Usage Guidelines2/5

    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, such as dynamic_creatives_get or other creative-related tools. Lacks context for usage conditions.

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

  • Behavior2/5

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

    No annotations are provided, so the description must disclose behavioral traits. It only says 'Get ad groups' without mentioning safety (read-only), authentication needs, or rate limits, leaving the agent without important context.

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

    Conciseness4/5

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

    The description is very concise, one sentence in both Chinese and English. No wasted words, but it could benefit from slightly more structure to separate purpose from usage.

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

    Completeness2/5

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

    No output schema and 5 parameters; the description does not explain return values, pagination behavior, or how filtering works. For a listing tool, this is insufficient for an agent to fully understand the tool's behavior.

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

    Parameters3/5

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

    Schema description coverage is 60% (3 of 5 parameters have descriptions). The tool description adds no extra parameter meaning beyond the schema, so baseline 3 is appropriate.

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

    Purpose4/5

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

    The description clearly states 'Get ad groups', which is the verb and resource. It distinguishes from sibling tools like adgroups_add or adgroups_delete by implying it's a read operation.

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

    Usage Guidelines2/5

    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 adgroups_get vs adgroups_add. The description lacks context such as prerequisites or typical use cases.

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

  • Behavior2/5

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

    No annotations provided, and the description does not disclose behavioral traits such as whether the operation is reversible, requires special permissions, or has side effects. 'Update' implies mutation, but no further detail is given.

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

    Conciseness4/5

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

    Single sentence, bilingual, no waste. Efficient but could be slightly more structured with a separate usage note.

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

    Completeness2/5

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

    Lacks any description of return values or side effects. Without output schema or behavioral notes, the agent may not know what to expect after the update (e.g., success confirmation, no content).

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

    Parameters3/5

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

    Schema coverage is 100% with descriptions for each parameter, so the schema already provides meaning. The description adds no additional semantic context beyond restating the parameter names.

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

    Purpose4/5

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

    The description clearly states the tool updates an ad group's bid amount. It is specific about the resource (ad group) and attribute (bid amount), but does not explicitly distinguish it from sibling tools like adgroups_update or adgroups_update_daily_budget.

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

    Usage Guidelines2/5

    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 (e.g., adgroups_update for broader updates or other bid-related tools). The description lacks usage context or prerequisites.

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

  • Behavior2/5

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

    No annotations are provided, and the description only states 'update' without detailing side effects, permissions, or reversibility. For a mutation tool, this is insufficient behavioral disclosure.

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

    Conciseness4/5

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

    The description is a single sentence that directly conveys the core purpose. It is front-loaded and efficient, though slightly more context could be added without sacrificing conciseness.

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

    Completeness3/5

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

    For a simple tool with three required parameters and no output schema, the description is minimally adequate. However, it does not mention sibling tools or usage context, which would improve completeness.

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

    Parameters3/5

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

    The input schema has 100% coverage with descriptions for all three parameters. The description adds no additional meaning beyond what the schema provides, meeting the baseline for high coverage.

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

    Purpose4/5

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

    The description clearly states 'update ad group daily budget', matching the tool name. It is specific and unambiguous, though it does not explicitly differentiate from sibling tools like adgroups_update.

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

    Usage Guidelines2/5

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

    There is no guidance on when to use this tool versus alternatives such as adgroups_update for other ad group updates or adgroups_update_configured_status for status changes. The description lacks context for agent decision-making.

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

  • Behavior2/5

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

    With no annotations, the description should disclose behavioral traits. It hints at returning a download URL but does not clarify if the file is directly downloaded, whether multiple calls are safe, or any idempotency implications.

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

    Conciseness4/5

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

    The description is a single, concise sentence with no wasted words. It efficiently conveys the core purpose but could benefit from a bit more detail without losing conciseness.

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

    Completeness2/5

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

    Given the lack of output schema and sibling tools that may overlap, the description is incomplete. It does not describe the return value format, prerequisites, or how this differs from similar report tools.

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

    Parameters3/5

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

    Schema description coverage is 100% (both parameters have descriptions in Chinese). The tool description adds no extra meaning beyond the schema; it merely echoes the function. Baseline score of 3 is appropriate.

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

    Purpose4/5

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

    The description explicitly states the action ('download async report file' and 'Get async report file download URL'), clearly identifying the tool's purpose. However, it does not distinguish it from sibling tools like async_reports_get or async_reports_add, which may also relate to reports.

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

    Usage Guidelines2/5

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

    No guidance is provided on when to use this tool versus alternatives, nor any prerequisites (e.g., the report must be completed). The description lacks context for proper utilization.

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

  • Behavior2/5

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

    No annotations are provided, and the description only states 'create async report task'. It does not disclose that the task is asynchronous, what the response contains, or any constraints like rate limits or idempotency.

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

    Conciseness4/5

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

    The description is very short (one sentence in two languages), and no unnecessary words. However, it could be slightly more structured with bullet points or additional context without being verbose.

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

    Completeness2/5

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

    Given the tool has 7 parameters with nested objects and no output schema, the description should explain the asynchronous nature, expected return values (e.g., task ID), and how to check completion. It omits all of this.

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

    Parameters2/5

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

    With 71% schema description coverage, the descriptions in the schema already cover most parameters. The tool description adds no additional meaning beyond the schema, failing to clarify formatting or usage of complex parameters like filtering or date_range.

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

    Purpose5/5

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

    The description clearly states the action 'Create async report task' (创建异步报表任务) with a specific verb and resource. It distinguishes from siblings like async_reports_get and async_report_files_get.

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

    Usage Guidelines2/5

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

    No guidance on when to use this tool vs alternatives (e.g., async_reports_get, daily_reports_get). The description lacks context about prerequisites, typical use cases, or when not to use it.

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

  • Behavior2/5

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

    With no annotations, the description should disclose behavioral traits. It only states 'Update', implying mutation, but does not clarify whether updates are full replacements or partial, any permission requirements, or what happens to unmentioned fields. This is insufficient for a mutation tool.

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

    Conciseness4/5

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

    The description is very short and to the point, with no redundant information. It could benefit from slightly more structure (e.g., separating English and Chinese), but remains appropriately sized for its purpose.

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

    Completeness2/5

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

    Given the complexity of updating a dynamic creative (with nested objects and multiple fields) and no output schema, the description lacks details on the update semantics, error conditions, or return values. It is minimally adequate but leaves significant gaps for an agent.

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

    Parameters3/5

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

    Schema description coverage is 100%, describing all parameters (account_id, creative_components, dynamic_creative_id). The tool description adds no additional meaning beyond the schema. Baseline score is 3; no extra value provided.

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

    Purpose4/5

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

    The description explicitly states 'Update dynamic creative', which is a clear verb+resource combination. It distinguishes itself from sibling tools like dynamic_creatives_get, dynamic_creatives_add, and dynamic_creatives_delete. However, it lacks specificity about what aspects are updated.

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

    Usage Guidelines2/5

    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 (e.g., dynamic_creatives_add or dynamic_creatives_delete). The description does not specify prerequisites, such as needing an existing creative to update, or contrast with other operations.

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

  • Behavior2/5

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

    No annotations are provided, so the description must disclose behavioral traits. It only states the basic function without indicating whether the operation is read-only, safe, or any side effects. The agent is left to infer that getting info is non-destructive.

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

    Conciseness4/5

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

    The description is a single bilingual sentence, efficient and front-loaded. It could be more informative but avoids unnecessary words.

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

    Completeness2/5

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

    For a simple get tool with no output schema, the description fails to explain return values, error conditions, or scope. It is too minimal for an agent to fully understand the tool's behavior.

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

    Parameters2/5

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

    Schema coverage is 50% (one parameter described in schema, one not). The description does not add any parameter information beyond the schema, such as the purpose of the 'fields' array or constraints on 'account_id'.

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

    Purpose5/5

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

    The description clearly states '获取资金账户信息 (Get fund account info)', specifying the verb 'Get' and the resource 'fund account info'. This distinguishes it from sibling tools like 'fund_transfer_add' which performs transfers.

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

    Usage Guidelines2/5

    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 or any prerequisites. For example, it does not mention that this tool is for retrieving account info rather than performing transfers or other operations.

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

  • Behavior2/5

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

    No annotations provided, and the description omits behavioral details such as read-only nature, pagination limits, or error handling.

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

    Conciseness3/5

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

    The description is concise but overly minimal; it states the function without any supportive structure or additional details that would aid usability.

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

    Completeness2/5

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

    Given the tool has 5 parameters and no output schema, the description is incomplete—missing return format, pagination behavior, and filtering syntax.

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

    Parameters2/5

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

    With only 20% schema description coverage, the description fails to explain most parameters (page, fields, filtering, page_size), leaving significant ambiguity for the AI agent.

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

    Purpose5/5

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

    The description clearly states the tool retrieves a list of image assets, distinguishing it from sibling tools like images_add, images_delete, and images_update.

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

    Usage Guidelines2/5

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

    No guidance provided on when to use this tool versus alternatives (e.g., videos_get for video assets), or prerequisites like authentication or account_id.

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

  • Behavior2/5

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

    No annotations are provided, so the description must fully disclose behavior. It only says 'get' which implies a read operation, but generating an OAuth URL may involve state or configuration. Missing details on side effects, authentication requirements, or return format.

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

    Conciseness4/5

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

    The description is very concise (one bilingual phrase). It is front-loaded but could include more utility without being verbose. Loses a point for being overly minimal.

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

    Completeness2/5

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

    Given no output schema and no annotations, the description is insufficient. It does not explain that the tool returns a URL, nor its role in the OAuth sequence. Missing behavioral and flow context.

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

    Parameters3/5

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

    Schema coverage is 100% with both parameters (state, redirect_uri) having descriptions. The description adds no additional meaning beyond the schema, meeting baseline expectations.

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

    Purpose4/5

    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 OAuth 授权链接 (Get OAuth authorize URL)'. It is specific with verb+resource and distinguishes from sibling OAuth tools like oauth_refresh_token and oauth_exchange_code.

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

    Usage Guidelines2/5

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

    No usage guidelines provided. The description does not specify when to use this tool vs. alternatives like oauth_refresh_token or oauth_exchange_code, nor does it mention prerequisites or order in the OAuth flow.

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

  • Behavior2/5

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

    With no annotations, the description must disclose behavioral traits. It only says 'refresh access token' but does not mention side effects, required prior authorization, token expiration details, or return behavior. This is insufficient for a security-sensitive operation.

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

    Conciseness4/5

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

    The description is very short, combining two languages. It is efficient but lacks any structure (e.g., no bullet points or sections). It earns its place but could be more organized.

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

    Completeness2/5

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

    Given no output schema and no annotations, the description should provide more context about what happens when the token is refreshed (e.g., new token returned, old token invalidated). The current text is too minimal to be complete for an OAuth refresh operation.

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

    Parameters3/5

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

    The tool has zero parameters and 100% schema coverage (empty object). The description does not add any parameter information beyond the schema, but since there are no parameters, a baseline of 4 is warranted. However, the description also does not explain that no input is required, earning a 3.

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

    Purpose4/5

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

    The description clearly states it refreshes an access token, using a specific verb (refresh) and resource (access_token). However, it does not differentiate from sibling tools like oauth_exchange_code which also deals with tokens, but the verb 'refresh' provides some distinction.

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

    Usage Guidelines2/5

    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, such as oauth_get_authorize_url or oauth_exchange_code. The description only states the action without clarifying prerequisites or context.

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

  • Behavior2/5

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

    No annotations are provided, and the description does not disclose any behavioral traits such as whether the update is partial, required permissions, error handling, or effects on other resources.

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

    Conciseness4/5

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

    The description is concise and front-loaded, consisting of one sentence. However, it is very brief and could be expanded slightly without losing conciseness.

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

    Completeness2/5

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

    Given three parameters, no output schema, and no annotations, the description lacks completeness. It does not explain return values, error conditions, or any side effects.

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

    Parameters3/5

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

    Schema coverage is 100% with descriptions for all parameters, so the tool description adds minimal value. Baseline 3 is appropriate as it does not hinder understanding.

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

    Purpose4/5

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

    The description clearly states 'Update video info' which specifies the action and resource. It distinguishes from siblings like videos_delete and videos_get, but could be more specific about which fields are updatable.

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

    Usage Guidelines2/5

    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 such as videos_get or images_update. No prerequisites or context provided.

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

  • Behavior2/5

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

    The description simply states the action (delete) but does not disclose behavioral traits such as irreversibility, required permissions, or cascading effects. Since no annotations are present, the description should provide this context.

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

    Conciseness4/5

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

    The description is very concise, consisting of a single phrase in both Chinese and English. It is front-loaded and efficient, though it could benefit from slightly more detail without becoming verbose.

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

    Completeness2/5

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

    For a delete operation, the description is incomplete. It does not mention return values, error handling, or side effects. With no output schema, the description should provide more context to ensure the agent understands the tool's full behavior.

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

    Parameters3/5

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

    Schema description coverage is 100% and both parameters have descriptions in the schema. The tool description does not add meaning beyond the schema, earning a baseline score of 3.

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

    Purpose5/5

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

    The description '删除广告组 (Delete ad group)' clearly states the verb (delete) and the resource (ad group), making the tool's purpose immediately obvious. It effectively distinguishes from sibling tools like adgroups_get and adgroups_update.

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

    Usage Guidelines2/5

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

    No guidance is provided on when to use this tool versus alternatives. For example, there is no mention of prerequisites or when adgroups_update_configured_status might be more appropriate.

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

  • Behavior2/5

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

    No annotations exist, and the description only states the action. It does not disclose behavioral traits such as idempotency, permission requirements, or side effects like overwriting existing data.

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

    Conciseness4/5

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

    The description is concise with two brief sentences, but the structure could be improved by front-loading the primary action and including context in a clear format.

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

    Completeness2/5

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

    Given the tool has 3 parameters and no annotations, the description is too minimal. It does not cover return values, error possibilities, or prerequisites, leaving significant gaps for an AI agent.

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

    Parameters3/5

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

    Schema coverage is 100% with descriptions for all parameters, so the schema already carries the burden. The description adds no extra meaning beyond stating the tool's purpose, resulting in a baseline score of 3.

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

    Purpose5/5

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

    The description explicitly states 'Add sub-account under agency', specifying the verb (add) and the resource (sub-account under agency). This clearly differentiates from sibling tools like advertiser_update or advertiser_get.

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

    Usage Guidelines2/5

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

    No guidance is provided on when to use this tool compared to alternatives, or any prerequisites. For a creation tool, context about required fields or constraints is missing.

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

  • Behavior2/5

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

    No annotations are present, and the description fails to disclose behavioral traits such as required permissions, side effects, rate limits, or return behavior. For a mutation tool, this lack of transparency 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.

    Conciseness4/5

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

    The description is extremely concise, consisting of a single bilingual phrase. It front-loads the essential information with no wasted words, though it might be slightly too minimal.

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

    Completeness2/5

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

    Given the absence of an output schema and annotations, the description should explain what the tool returns and any side effects. It does neither, leaving the agent with incomplete context for a mutation operation.

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

    Parameters3/5

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

    The input schema already describes all four parameters with 100% coverage, including required fields account_id and audience_id. The description adds no additional semantic meaning beyond what the schema provides, so a baseline score of 3 is appropriate.

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

    Purpose5/5

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

    The description explicitly states 'Update custom audience', clearly identifying the action (update) and the resource (custom audience). Among sibling tools like custom_audiences_get, custom_audiences_add, and custom_audiences_delete, this tool's purpose is distinct and unambiguous.

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

    Usage Guidelines2/5

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

    No guidance is provided on when to use this tool versus alternatives such as custom_audiences_add or custom_audiences_delete. There is no mention of prerequisites, context, or scenarios where this update should be preferred over other operations.

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

  • Behavior2/5

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

    With no annotations, the description must disclose behavioral traits. It only states that the tool updates image info, leaving questions about whether updates are partial or full, required permissions, or error conditions unanswered.

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

    Conciseness5/5

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

    The description is a single, short sentence that is bilingual and to the point. Every word earns its place with no redundancy.

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

    Completeness3/5

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

    Given the tool's simplicity (only one updatable field beyond required IDs), the description is adequate. However, it could briefly mention which fields are updatable (since schema shows only description) to be fully self-contained.

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

    Parameters3/5

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

    The input schema has 100% description coverage for its three parameters, so the schema already explains each parameter. The description adds no extra semantic value beyond the Chinese translation.

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

    Purpose4/5

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

    The description clearly states the verb 'update' and the resource 'image material info', making the tool's purpose obvious. However, it does not differentiate from sibling tools like images_add or videos_update, which also involve updates on different resources.

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

    Usage Guidelines2/5

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

    No guidance is provided on when to use this tool versus alternatives such as images_add (to create) or images_delete (to remove). There is no mention of prerequisites or context for invoking the update.

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

  • Behavior2/5

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

    No annotations provided; description only says 'update' without disclosing side effects, idempotency, or error conditions. Fails to inform about behavioral traits.

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

    Conciseness4/5

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

    Single sentence with bilingual text, no wasted words. Could be slightly more informative but remains concise.

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

    Completeness3/5

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

    For a simple update tool with 2 params and no output schema, minimal description may suffice but lacks details on return format or validation, especially given no annotations.

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

    Parameters3/5

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

    Schema coverage is 100%, baseline 3. Description adds no extra meaning beyond the schema; unit '分' is already in schema.

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

    Purpose5/5

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

    Description clearly states the verb 'update' and the resource 'advertiser daily budget', with bilingual text. It distinguishes from sibling tools like 'advertiser_update' and 'adgroups_update_daily_budget'.

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

    Usage Guidelines2/5

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

    No guidance on when to use this tool vs alternatives, no prerequisites or constraints mentioned.

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

  • Behavior2/5

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

    No annotations exist, and the description only states 'delete' without disclosing impacts like irreversibility, cascading effects, or authentication requirements.

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

    Conciseness4/5

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

    The description is a single brief sentence with no wasted words. It could include more detail but remains concise.

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

    Completeness3/5

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

    For a simple delete tool with two parameters, the description is minimally adequate but lacks behavioral details such as error responses or idempotency.

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

    Parameters3/5

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

    Schema coverage is 100%, so parameters are documented in the schema. The description adds no additional meaning beyond what the schema provides.

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

    Purpose5/5

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

    The description 'Delete custom audience' uses a specific verb and resource, clearly distinguishing it from sibling tools like custom_audiences_get, custom_audiences_add, and custom_audiences_update.

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

    Usage Guidelines2/5

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

    No guidance on when to use this tool vs alternatives, such as when a delete is appropriate or any prerequisites required.

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

  • Behavior2/5

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

    No annotations are provided. The description only states 'create' but does not disclose any behavioral traits such as required permissions, side effects, or whether the creation is immediate or async. The agent gains no insight beyond the verb.

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

    Conciseness5/5

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

    The description is a single concise sentence in Chinese with English translation. No wasted words, front-loaded with the core purpose.

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

    Completeness2/5

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

    Given 4 parameters, with a nested object (creative_components) and no output schema, the description is too minimal. It does not explain the structure of creative_components, the role of creative_template_id, or expected outcomes. A more complete description would outline these.

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

    Parameters3/5

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

    Schema coverage is 100%: all 4 parameters have descriptions in the schema. The tool description adds no additional meaning beyond the schema. Baseline 3 is appropriate as the description does not compensate with extra context.

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

    Purpose5/5

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

    The description explicitly states 'Create dynamic creative' which clearly identifies the action (create) and the resource (dynamic creative). This distinguishes it from sibling tools like dynamic_creatives_get, dynamic_creatives_update, etc.

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

    Usage Guidelines2/5

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

    No guidance is provided on when to use this tool versus alternatives (e.g., when to use dynamic_creatives_add vs dynamic_creatives_update). No prerequisites or contextual hints are given.

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

  • Behavior2/5

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

    No annotations are provided, so the description must disclose behavioral traits. It only says 'Delete' without mentioning irrevocability, authorization needs, or cascading effects. For a destructive operation, this is insufficient.

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

    Conciseness4/5

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

    The description is a single sentence with no waste. It includes both Chinese and English for clarity. However, it is extremely brief and could be expanded slightly without losing conciseness.

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

    Completeness3/5

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

    Given the tool's simplicity (2 required params, no output schema), the description is minimally adequate. It states the core purpose but lacks details about post-deletion behavior or error conditions.

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

    Parameters3/5

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

    Schema coverage is 100%, so the input schema already documents both parameters. The description adds no extra meaning beyond the schema, meeting the baseline but not exceeding it.

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

    Purpose5/5

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

    The description clearly states the action (delete) and the resource (dynamic creative). It distinguishes from sibling delete tools like videos_delete and custom_audiences_delete by specifying the resource type.

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

    Usage Guidelines2/5

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

    No guidance on when to use this tool, such as prerequisites or situations to avoid deletion. Lacks any context to help an agent decide between this and other delete tools.

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

  • Behavior2/5

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

    No annotations are present, so the description carries the full burden of behavioral disclosure. However, it only states 'Create lead' without mentioning side effects, idempotency, authentication requirements, or potential errors. This is insufficient for an AI agent to understand the tool's behavior.

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

    Conciseness5/5

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

    The description is a single concise sentence with no wasted words. It is front-loaded and immediately conveys the tool's primary function.

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

    Completeness2/5

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

    For a creation tool with three parameters and no output schema, the description lacks important context such as return values, error handling, or side effects. Additional details would help the agent use the tool effectively.

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

    Parameters3/5

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

    Schema coverage is 100% with clear parameter descriptions in Chinese (e.g., '线索名称' for lead_name). The tool description adds no extra semantic information beyond the schema. Given high schema coverage, a baseline score of 3 is appropriate.

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

    Purpose5/5

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

    The description explicitly states 'Create lead' in both Chinese and English, clearly indicating the action (create) and the resource (lead). This distinguishes it from sibling tools like leads_list_get, leads_update, and leads_claim_update.

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

    Usage Guidelines2/5

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

    No guidance is provided on when to use this tool versus alternatives. There is no mention of prerequisites, context, or scenarios where leads_add is appropriate. Sibling tools handle different operations on leads, but the description offers no differentiation.

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

  • Behavior2/5

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

    No annotations are provided, so the description bears the full burden. It discloses the mutation action but does not elaborate on side effects, reversibility, or required permissions. More detail would be beneficial for safe invocation.

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

    Conciseness4/5

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

    The description is very concise: one sentence with a parenthetical note. It is efficient and to the point, though it could arguably include more context without losing conciseness.

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

    Completeness4/5

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

    For a simple tool with only three required parameters, the description is adequate. It states the purpose and the allowed status values. However, since there is no output schema or annotations, a bit more detail on effects would improve completeness.

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

    Parameters3/5

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

    Schema coverage is 100%, so each parameter already has a description. The tool description adds no additional semantic value beyond rephrasing. Baseline score of 3 is appropriate.

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

    Purpose5/5

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

    The description clearly states the specific verb 'update' and resource 'ad group status', and provides the valid statuses in parentheses (enable/pause). This distinguishes it from siblings like 'adgroups_update' which may update other fields, and 'adgroups_update_daily_budget' etc.

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

    Usage Guidelines2/5

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

    No guidance is provided on when to use this tool versus alternatives. For instance, there is no mention of prerequisites, nor when not to use it. Given that 'adgroups_update' is a sibling, the description does not clarify if that tool could also change status.

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

  • Behavior2/5

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

    No annotations are present, and the description lacks any behavioral details such as side effects, permissions, rate limits, or pagination behavior. For a read tool, basic safety traits should be mentioned.

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

    Conciseness5/5

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

    The description is extremely concise with two clauses (Chinese and English) that directly state the purpose. Every word earns its place, and it is front-loaded.

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

    Completeness2/5

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

    Given the tool has 5 parameters and no output schema or annotations, the description is far from complete. It omits critical context about parameter usage, return format, and when to choose this over siblings.

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

    Parameters2/5

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

    The description does not elaborate on any parameters. With schema description coverage at 20%, the description should compensate but fails to add meaning beyond the schema's type and default values.

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

    Purpose5/5

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

    The description '获取创意列表 (Get dynamic creatives)' clearly specifies the action (get list) and the resource (dynamic creatives). It distinguishes this tool from its siblings (add, update, delete) which use different verbs.

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

    Usage Guidelines3/5

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

    The description does not provide explicit guidance on when to use this tool versus alternatives. However, the tool name and sibling names imply its role as a read operation, offering some implicit context.

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

  • Behavior2/5

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

    No annotations are provided, so the description must disclose behavioral traits. It only says 'Transfer funds between accounts' without mentioning destructive potential, permission requirements, idempotency, or side effects. For a financial transfer tool, this is insufficient.

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

    Conciseness4/5

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

    The description is extremely concise with a single sentence. It is front-loaded with the Chinese term first, then English translation. While short, it wastes no words, earning a high score for conciseness.

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

    Completeness2/5

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

    Given the complexity of a fund transfer tool (monetary impact, no output schema, no annotations), the description is incomplete. It lacks context on return values, success/failure behavior, account eligibility, or any prerequisites.

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

    Parameters3/5

    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 four parameters. The tool description adds no additional meaning beyond restating the overall purpose. Per guidelines, baseline 3 is appropriate.

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

    Purpose5/5

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

    The description clearly states the tool's purpose: 'Transfer funds between accounts'. It uses a specific verb ('Transfer') and resource ('funds between accounts'), and distinguishes itself from sibling tools, as no other tool handles fund transfers.

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

    Usage Guidelines3/5

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

    The description provides no explicit guidance on when to use this tool vs alternatives, nor does it mention when not to use it. While the sibling set includes a funds_get tool for querying, the description does not address usage context or exclusions.

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

  • Behavior3/5

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

    No annotations are provided, so the description carries full burden. It accurately states the core behavior but lacks details on side effects, prerequisites, or error handling.

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

    Conciseness5/5

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

    The description is extremely concise, with a single sentence in both Chinese and English. It front-loads the primary action with no unnecessary words.

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

    Completeness3/5

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

    The tool has no output schema, and the description does not mention return values or error conditions. While the basic purpose is clear, more context for a security-sensitive OAuth tool would be beneficial.

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

    Parameters3/5

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

    Schema description coverage is 100%, so baseline is 3. The description does not add extra meaning beyond what the schema already provides for the two parameters.

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

    Purpose5/5

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

    The description clearly states the action of exchanging an authorization code for a token, using a specific verb and resource. It distinguishes itself from sibling tools like oauth_get_authorize_url and oauth_refresh_token.

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

    Usage Guidelines3/5

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

    No explicit guidance on when to use this tool versus alternatives, but the OAuth flow context is implied. The description does not provide when-not or alternative suggestions.

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

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