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text_around

Extract cleaned surrounding text around an element reference or the best-ranked text match, returning before, match, and after segments.

Instructions

Return cleaned surrounding text around an element ref or the best ranked text match. Returns {ref, before, match, after, text}.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
context_charsNoCharacters before/after the target (default 400)
refNoOptional element ref like e:142
selectorNoOptional CSS selector to scope context
textNoOptional text to locate when ref is omitted
Behavior2/5

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

No annotations exist, so the description carries full burden. It notes the tool is read-only by nature but fails to disclose potential side effects, rate limits, or behavior when no match is found.

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?

Two sentences, zero extra words. Front-loaded with purpose and output format, highly efficient.

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?

Explains both usage modes and returns fields, which is adequate given no output schema. However, lacks details on error handling, match ranking logic, or performance implications for a 4-parameter 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% with descriptive parameter names and descriptions. The tool description adds value by explaining the return structure and 'cleaned' qualifier, but does not significantly enhance parameter understanding 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 the tool returns cleaned surrounding text around an element ref or text match, specifying output fields. It implies differentiation from siblings like text or text_main, but does not explicitly name them.

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., find_text, query_text). Context signals show 6 similar sibling tools, but description offers no situational advice 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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