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Read-onlyIdempotent

Search across all saved conversations, notes, decisions, and files from Chat, Code, and Cowork to find previously discussed topics, decisions, or files using natural language queries.

Instructions

Search through everything that has been saved across conversations. Use when the user asks "what did I decide about...", "what do we know about...", "did I save anything about...", "find my notes on...", "what was that thing about...", or any question that might be answered by previously saved context. Also use proactively when the user asks a question that saved context might answer — check before saying "I don't have that information". Searches across all surfaces (Chat, Code, Cowork) and all projects.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
typeNoNarrow search to a specific type. Use "decision" when user asks "what did I/we decide about...", "preference" for "what are my preferences for...", etc.
limitNoMaximum number of results to return (1-50, default 10)
queryYesKeywords to search for. Use natural terms like 'authentication' or 'deploy process'. Supports quoted phrases like '"react hooks"' and operators AND/OR/NOT.
offsetNoNumber of results to skip for pagination
projectNoNarrow search to a specific project. Omit to search across all projects.
source_surfaceNoNarrow search to contexts saved from a specific surface. Omit to search all surfaces.
response_formatNoResponse format: json or markdownmarkdown
Behavior4/5

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

Annotations already provide readOnlyHint, idempotentHint, destructiveHint=false. Description adds context that searches across all surfaces and projects, and encourages proactive use. No contradiction with annotations.

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?

Single, efficient paragraph front-loads purpose, then provides usage examples and scope. Every sentence adds value with no redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Lacks description of return value format (no output schema), but given the rich schema and annotations, the description adequately covers when and how to use the tool. Could add what results contain, but not critical.

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 descriptions. The tool description adds usage context but does not significantly enhance parameter meaning beyond the schema. Baseline 3 is appropriate.

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 it searches saved context across conversations, provides specific example queries from users ('what did I decide about...'), and distinguishes from siblings by focusing on search rather than CRUD operations.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Gives explicit guidance on when to use: when user asks certain types of questions, and proactively when saved context might answer. Suggests checking before claiming ignorance. Effectively differentiates from other tools like save/delete.

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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