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tmeng7777

uctx

by tmeng7777

search_context

Retrieve a user's saved context by keyword to inform answers about preferences, background, or history using information shared with other agents.

Instructions

Search the user's saved context by keyword.

Call this BEFORE answering questions about the user's preferences, background, or history, so your answer reflects what they've told other agents — not just this conversation.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
queryYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

No annotations are provided, so the description carries the full burden. It adds valuable context by explaining that the search retrieves information from other agents, not just the current conversation. It does not explicitly state read-only behavior, but 'search' implies a non-mutating operation.

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 concise, front-loaded with the function, and the second sentence adds critical usage guidance. There is no redundancy or wasted words.

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?

Given the tool's simplicity and the presence of an output schema, the description is largely complete. It covers purpose and usage, but the unexplained 'limit' parameter is a minor gap.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema has 0% description coverage, so the description must compensate. It hints that 'query' is a keyword, but it does not explain the 'limit' parameter or its default behavior. This is insufficient for full parameter understanding.

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 tool searches the user's saved context by keyword, using a specific verb and resource. It is distinct from siblings like list_context, forget_context, and save_context.

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

Usage Guidelines4/5

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

The description explicitly instructs when to call it: before answering questions about preferences, background, or history, so the answer reflects other-agent context. It does not explicitly name alternatives or exclusions, but the guidance is clear.

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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