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search_with_context

Find text in Scrivener projects and view surrounding paragraphs to understand context. Specify search terms and adjust paragraph range for comprehensive results.

Instructions

Search for a term and return matches with surrounding paragraphs for context

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesSearch term
contextParagraphsNoNumber of paragraphs before/after match to include (default: 2)
Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. It mentions returning matches with context but omits critical details: whether this is a read-only operation, how results are formatted, pagination behavior, error conditions, or performance characteristics. The description is too vague for a tool with potential complexity.

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, efficient sentence that states the core functionality without unnecessary words. It's appropriately sized for a search tool and front-loads the essential 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?

For a search tool with no annotations and no output schema, the description is insufficient. It doesn't explain what 'matches' look like, how context paragraphs are selected, whether results are limited, or what happens with no matches. Given the lack of structured fields, more behavioral detail is needed.

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 both parameters thoroughly. The description implies the 'query' parameter is for searching and 'contextParagraphs' controls output context, but adds no additional meaning beyond what the schema provides. This meets the baseline for high schema 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 the tool's purpose with a specific verb ('Search') and resource ('term'), and specifies what it returns ('matches with surrounding paragraphs for context'). It distinguishes from basic search tools by emphasizing contextual output, though it doesn't explicitly differentiate from sibling 'search_content'.

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 like 'search_content' or 'find_all_mentions'. It lacks context about prerequisites, exclusions, or typical scenarios where contextual paragraphs are beneficial.

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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