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document_search

Find specific information in a manufacturing document, including text, headings, tables, and metadata, using a document ID and search query.

Instructions

Search text, headings, table cells, and metadata.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
queryYes
doc_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations provided, so description must disclose behavior. It only lists search targets but omits how results are returned, pagination, or performance implications. The existence of an output schema does not excuse missing behavioral hints.

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 to the point of being under-specified. While front-loaded, it sacrifices necessary detail. Every sentence should earn its place; this one does not provide enough value.

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 (searching multiple content types) and the lack of annotations and parameter descriptions, the description is far from complete. The output schema exists but is not leveraged.

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 0%, and the description does not mention any parameter names or purpose. The agent cannot infer that doc_id specifies the document, query is the search term, or limit restricts results.

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 verb 'Search' and the resource: text, headings, table cells, and metadata. This distinguishes it from siblings like document_read_chunk which reads plain text, and document_outline which gives structure.

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 other search-like tools (e.g., mes_classify_document). Lacks context about when not to use it or prerequisites.

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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