search_content
Search for content across all documents in Scrivener writing projects to find specific text or information.
Instructions
Search for content across all documents
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes | Search query |
Search for content across all documents in Scrivener writing projects to find specific text or information.
Search for content across all documents
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes | Search query |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries full burden for behavioral disclosure. While 'search' implies a read-only operation, the description doesn't specify whether this is a simple keyword search, full-text search, or includes metadata. It also lacks information about permissions, rate limits, or what happens when no results are found.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely concise with just one sentence that directly states the tool's purpose. There's no wasted language or unnecessary elaboration, making it efficiently front-loaded and easy to parse.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
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 type of content is searched, how results are returned, whether there's pagination, or what the search scope 'across all documents' entails. Given the complexity of search operations, more context is needed.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100% for the single 'query' parameter, so the schema already documents it adequately. The description adds no additional parameter information beyond what's in the schema, which is acceptable given the high schema coverage but doesn't provide extra value.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
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 ('content across all documents'), making it immediately understandable. However, it doesn't differentiate from sibling tools like 'search_with_context' or 'find_all_mentions', which prevents a perfect score.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
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. With sibling tools like 'search_with_context' and 'find_all_mentions' available, there's no indication of what distinguishes this search functionality or when it's preferred over other search-related tools.
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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