get_memory
Retrieve a specific memory by ID.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | Memory ID |
Retrieve a specific memory by ID.
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | Memory ID |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of behavioral disclosure. It implies a read-only operation via 'retrieve' but does not disclose potential error behavior, return format, or what happens if the ID is not found. This is minimal transparency beyond the verb itself.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, front-loaded sentence with no unnecessary words. It is appropriately sized for the simplicity of the tool.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool has only one parameter and no output schema or annotations, so the description must provide sufficient context. It states the action but omits expected return values, error handling, or any details about the memory resource itself. An agent lacks enough information to fully anticipate the tool's behavior.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema fully describes the only parameter ('id' with 'Memory ID'), so schema coverage is 100%. The description adds no additional meaning beyond what the schema already provides, warranting the baseline score of 3.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly identifies a specific verb ('retrieve') and resource ('a specific memory by ID'), and this is distinct from siblings like search_memories, delete_memory, and store_memory. It precisely communicates the tool's function.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies the tool should be used when a specific memory ID is known, but it provides no explicit guidance on when to choose this over search_memories or other alternatives. There is no mention of contexts, prerequisites, or exclusions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Each tool has a clearly distinct purpose: store, retrieve by ID, search, delete by ID, and clear a namespace. No two tools overlap in functionality or target different granularities.
All tool names follow a consistent verb_noun pattern with clear verbs (store, get, search, delete, clear) and nouns (memory, memories, namespace). The slight pluralization in search_memories is natural and does not disrupt consistency.
Five tools is a well-scoped set for an agent memory system, covering the essential operations without unnecessary bloat or redundancy.
The surface covers create (store), read (get, search), and delete (delete, clear) for memories. A direct update operation is missing, but users can work around it by deleting and re-storing, so the gap is minor.