Skip to main content
Glama

Read Memory

read_memory
Read-onlyIdempotent

Read one exact authorized XMemo memory in character windows. Use a memory ID returned by recall or search, then continue long content with next_offset. Embeddings are never returned.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum content characters in this page; defaults to 4000.
offsetNoZero-based character offset into this memory's content; defaults to 0.
memory_idYesExact XMemo memory reference returned by recall or search.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

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

  1. Added

TDQS

A4.7/5.0
Behavior5/5

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

Beyond the readOnlyHint, the description adds that the tool reads in character windows (pagination), only returns 'authorized' memories, uses exact IDs, and never returns embeddings. These are meaningful behavioral details not present in 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?

The description is exactly two sentences, front-loaded with the core purpose ('Read one exact authorized XMemo memory'), and every clause contributes useful information (authorization, pagination, embeddings). No fluff or repetition.

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

Completeness5/5

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

Given the presence of annotations, a full output schema, and the tool's relatively simple read behavior, the description fully covers the essential context: pagination semantics, the need for an ID from recall/search, and the exclusion of embeddings. The agent can confidently use this tool without additional undocumented behavior.

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?

The input schema already provides full descriptions for all three parameters (memory_id, offset, limit) with character-based semantics. The description adds a reference to next_offset for pagination, but this is also implied by the schema. No significant additional parameter meaning is provided.

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 states 'Read one exact authorized XMemo memory in character windows', which is a specific verb (read), resource (XMemo memory), and mode (character windows). This clearly distinguishes it from sibling tools like recall or search_memory that find memory IDs.

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?

It explicitly instructs to use a memory ID returned by recall or search, then continue long content with next_offset. This provides a clear workflow for when to use this tool (after finding the ID) and how to paginate, effectively differentiating it from alternatives.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

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.