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Recall memories

recall_memories
Read-only

Semantic + keyword recall over the user's distilled cloud memories. Pass an entity (person/company/project/topic) to scope the recall to memories about it.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax results (default 8).
queryYesWhat to recall, in plain words.
entityNoScope to a person/company/project/topic.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, openWorldHint=false, and destructiveHint=false, so the safety profile is covered. The description adds useful context that retrieval is semantic plus keyword and can be scoped by entity, but it does not describe return format, pagination, or other behavioral traits beyond what annotations provide.

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 two concise sentences, front-loads the core purpose, and every sentence contributes without waste. It is appropriately sized for a simple recall tool.

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?

For a read-only tool with full parameter descriptions and safety annotations, the description is largely complete: it states the retrieval method, scoping option, and required query. The main gap is lack of explicit routing guidance versus sibling search tools, but the memory-specific scope and retrieval method still make it callable correctly.

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%, so the schema already documents all three parameters with descriptions. The description adds no new parameter meaning beyond what is in the schema; it mostly restates the entity parameter's schema description.

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 states a specific verb ('recall') and resource ('user's distilled cloud memories') and specifies it combines semantic and keyword search. It does not explicitly differentiate from siblings like search or search_notes, so it falls short of 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 Guidelines2/5

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

There is no guidance on when to use this tool versus alternatives such as search or fetch. The only usage instruction is about passing an entity to scope results, which is parameter semantics rather than tool selection.

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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