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bitable_search_records

Search records in a Feishu Bitable table by applying filters, sorting, and field selection to retrieve the exact data you need.

Instructions

搜索多维表格中的记录

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sortNo排序规则
filterNo筛选条件
table_idYes数据表 ID
app_tokenYes多维表格 app_token
page_sizeNo分页大小,最大 500
page_tokenNo分页标记
field_namesNo返回的字段名列表
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It indicates a search/read operation but does not mention response format, pagination behavior, filtering semantics, or any side effects. This is minimal beyond the verb itself.

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 that is front-loaded and free of fluff. While it is appropriately brief, it omits important behavioral context, but that is more a completeness issue than a conciseness issue.

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 (7 parameters, nested filter/sort objects) and the absence of both annotations and an output schema, the two-word description is far from complete. It does not explain what results look like, how pagination works, or how search differs from plain listing.

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 the schema itself provides detailed descriptions for all parameters including filter, sort, pagination, and field selection. The description adds no extra parameter meaning, so the baseline score of 3 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 '搜索多维表格中的记录' clearly states a specific action (search) on a specific resource (records in a multidimensional table). It distinguishes itself from sibling tools that create or update records, though it does not explicitly contrast with a potential 'list records' function.

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 such as bitable_list_tables or bitable_create_record. It lacks context about use cases, prerequisites, or exclusions.

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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