memory_read
Read from agent memory
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| key | Yes | ||
| agentId | Yes |
Read from agent memory
| Name | Required | Description | Default |
|---|---|---|---|
| key | Yes | ||
| agentId | Yes |
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?
With no annotations provided, the description carries the full burden of behavioral disclosure. It only states 'Read', implying a non-mutating operation, but says nothing about return behavior, error handling, or what happens if the key does not exist. The minimal disclosure leaves significant ambiguity.
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 extremely short and front-loaded, which is efficient, but it is under-specified. It conveys the core action in a single sentence, yet omits essential context, making it minimally acceptable rather than well-structured.
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?
Given the tool has two required parameters, no annotations, and no output schema, the description is insufficient. It fails to provide parameter semantics, return value expectations, or edge case behavior, leaving the agent without enough information to use the tool reliably.
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?
Schema description coverage is 0%, and the description does not explain any of the two parameters (agentId, key). The description adds no meaning beyond the schema's bare field names, failing to compensate for the lack of schema descriptions.
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 states the action ('Read') and the resource ('agent memory'), making the primary purpose understandable. However, it does not explicitly differentiate from the sibling tool memory_write, though the verb 'Read' implicitly contrasts with 'Write'.
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?
No guidance is given on when to use this tool versus memory_write or any other alternative. It does not mention prerequisites, context, or scenarios where reading from agent memory is appropriate.
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.
The two tools have clearly distinct purposes: one reads memory, one writes memory. There is no ambiguity between them.
Both tools follow a consistent verb_noun pattern (memory_read, memory_write), making the naming predictable and clear.
With only two tools, the server feels minimal. While appropriate for a simple memory store, it is on the borderline of being too thin for a full-featured toolset.
The server provides read and write operations but lacks delete or clear functionality, which is a notable gap in memory lifecycle management. Agents cannot remove specific memories or reset the memory store.