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Glama

XMemo

by io.github.yonro

Show XMemo memory overview

memory_overview
Read-onlyIdempotent

Show exactly one requested XMemo memory view. For a broad workspace snapshot, use only the default overview. Use section='stats' only for an explicitly requested count or breakdown, and section='activity' only for explicitly requested recent changes; do not combine sections for one overview request.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum number of results to return.
sinceNoRFC 3339 timestamp with timezone offset (e.g., '2026-09-01T00:00:00+09:00'). Trigger: Call this whenever the user query mentions any relative or absolute time constraint (今天/今日/昨天/昨日/前天/上周/8月1日/8月10日到9月1日/最近...). Model responsibility: You (the calling LLM) know current date and user local time, so you must convert natural language time expressions into absolute timestamps. Consequence: If omitted, the server falls back to heuristic guessing which may misinterpret timezone day boundaries or relative dates.
top_nNoMaximum number of aggregate groups to return.
untilNoRFC 3339 timestamp with timezone offset (e.g., '2026-09-02T00:00:00+09:00'). When used with since, defines the half-open interval [since, until) with until > since (maximum 90 days span). Trigger: Pass when the user query specifies an end date or bounded window (e.g., 昨天 end of day, 截至8月10日, 8月10日到9月1日). Model responsibility: Convert natural language end bounds into absolute timestamps with timezone offsets. Consequence: If omitted, the window is open-ended on the upper side or derived heuristically.
sectionNoInput value for the Memory Overview tool.overview
group_byNoOptional grouping: none, month, agent, location, memory_type, type, source, path, bucket, or day.
memory_typeNoOptional memory type/category for user-facing updates, such as semantic, episodic, or procedural.%
activity_typeNoActivity filter: all, writes, deletions, restorations, reads, reminders, ledger, or timeline.all

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Changed2 schema fields changed
    • changedInput schema / properties / since / description
      Previous value: -"Only include memories or activity on or after this ISO 8601 timestamp."New value: +"RFC 3339 timestamp with timezone offset (e.g., '2026-09-01T00:00:00+09:00'). Trigger: Call this whenever the user query mentions any relative or absolute time constraint (今天/今日/昨天/昨日/前天/上周/8月1日/8月10日到9月1日/最近...). Model responsibility: You (the calling LLM) know current date and user local time, so you must convert natural language time expressions into absolute timestamps. Consequence: If omitted, the server falls back to heuristic guessing which may misinterpret timezone day boundaries or relative dates."
    • changedInput schema / properties / until / description
      Previous value: -"Only include memories or activity on or before this ISO 8601 timestamp."New value: +"RFC 3339 timestamp with timezone offset (e.g., '2026-09-02T00:00:00+09:00'). When used with since, defines the half-open interval [since, until) with until > since (maximum 90 days span). Trigger: Pass when the user query specifies an end date or bounded window (e.g., 昨天 end of day, 截至8月10日, 8月10日到9月1日). Model responsibility: Convert natural language end bounds into absolute timestamps with timezone offsets. Consequence: If omitted, the window is open-ended on the upper side or derived heuristically."
  2. Added
  3. Removed
  4. First observed

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false. The description goes beyond annotations by disclosing the one-view-per-request rule and the prohibition on combining sections, which is useful behavioral context not present in the 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?

Three concise sentences with no filler. The purpose is front-loaded, and each sentence adds a distinct piece of information about scope and section usage.

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 an 8-parameter read-only tool with a full output schema and 100% schema coverage, the description adds the critical one-view rule and section-selection guidance. It is slightly incomplete in not addressing when to prefer this tool over sibling memory tools, but that is a secondary gap.

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 description coverage is 100%, so each parameter is already documented. The description adds guidance on section selection but does not explain since/until or group_by, which the schema already handles. Baseline 3 is appropriate.

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 opens with a clear verb-resource pair ('Show exactly one requested XMemo memory view') and identifies the three section modes. It does not explicitly name sibling tools, but the purpose is unambiguous and distinct enough from read_memory or search_memory.

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?

It provides explicit rules: default overview for a broad workspace snapshot, stats only for explicit count/breakdown requests, activity only for explicit recent-change requests, and no section combination. However, it does not contrast this tool against sibling memory tools, leaving some selection inference to the agent.

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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TDQS

A3.9/5.0
Disambiguation3/5

Multiple memory-retrieval tools (recall, search_memory, recall_context, read_memory, memory_overview) have overlapping purposes; detailed descriptions help but an agent could easily pick the wrong one. Similarly, ledger/open_ledger and todo/open_todo_board split text vs UI interaction, and forget overlaps with todo delete_all and ledger deletion.

Naming Consistency3/5

Most tools follow a verb_noun snake_case pattern (read_memory, update_memory, search_memory, open_ledger). However, several tools use bare nouns or verbs (forget, ledger, project, todo, recall, remember) and memory_overview is noun_noun, creating inconsistent conventions.

Tool Count3/5

19 tools is on the heavy side for the apparent scope, and the surface includes several pairs that duplicate the same domain in text vs UI form (ledger/open_ledger, todo/open_todo_board). Still, the count is defensible given the combined memory, project, TODO, and ledger coverage.

Completeness4/5

Memory has full lifecycle coverage (remember, read, search/recall, update, forget, restore), and TODO and Ledger workflows are largely complete. Minor gaps exist—no explicit project deletion and no pure text list-projects tool—but core workflows do not dead-end.

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