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knorq-ai
by knorq-ai

search_text

Search for text in DOCX files and retrieve matching blocks with surrounding context. Supports case-sensitive search.

Instructions

Search for text in a DOCX file. Returns matching blocks with context.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
file_pathYesAbsolute path to the .docx file
queryYesText to search for
case_sensitiveNoCase-sensitive search
Behavior2/5

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

No annotations are provided, so the description must bear the full burden. It only vaguely states 'Returns matching blocks with context', without specifying whether the tool is read-only, what 'blocks' refer to, or any side effects. More behavioral detail is needed.

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 (12 words, one sentence). It is front-loaded with the core purpose. However, it could include more detail without becoming verbose.

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 search tool with 3 parameters and no output schema, the description hints at the return value but is vague ('blocks with context'). It is adequate but not fully complete, as it does not describe the format or granularity of results.

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 what is already in the parameter descriptions. No param-specific clarifications are provided.

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', the resource 'text in a DOCX file', and the output 'matching blocks with context'. It distinguishes from siblings like read_document or highlight_text, as those are not search-specific.

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?

There is no explicit guidance on when to use this tool versus alternatives (e.g., reading the whole document or using highlight_text). Usage is implied but not clarified.

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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