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Search the user's cloud brain and return matching memories as result records. Use fetch to retrieve the full text of any result by its id.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesThe search query.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, destructiveHint=false and openWorldHint=false, so the safety profile is covered. The description adds genuinely useful behavior beyond that: results are returned as records and may not be the full text, requiring a fetch by id. It omits result-count limits or pagination behavior.

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, no filler, with the core action stated first and the follow-up workflow second. Every sentence carries information the agent needs.

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?

With no output schema, the description must say what comes back, and it does (matching memories as result records, full text via fetch). For a one-parameter search tool this is nearly complete; only result limits or ordering behavior are unstated.

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?

With a single parameter at 100% schema coverage, the schema already fully documents "query," so the baseline is 3. The description adds no query syntax, matching behavior, or scoping hints beyond what the schema states.

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 gives a specific verb and resource ("Search the user's cloud brain") and even characterizes the return as "result records," so the agent knows what it gets back. It does not, however, distinguish itself from close siblings like recall_memories or search_notes, which is what would be needed for a 5.

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

Usage Guidelines3/5

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

It gives clear next-step guidance ("Use fetch to retrieve the full text of any result by its id"), which tells the agent how to follow up. It says nothing about when to choose this tool over recall_memories or search_notes, so the alternative-selection question is left to inference.

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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