nitro_get_memory
Read brand memory.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Read brand memory.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, so the safety profile needs no repetition. The description adds nothing beyond that — no indication of what the memory contains, its scope ('brand' vs account), size, or whether retrieval is cheap.
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?
Three words, front-loaded and waste-free, so it passes the conciseness test. The terseness crosses into under-specification: every sentence earns its place because there is only one, and it carries too little.
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?
With no parameters and no output schema, the description is the only channel for explaining the return value, and it does not. An agent cannot tell whether it receives free-text brand facts, structured attributes, or an empty string, nor whether a prior nitro_select_brand call is required.
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 tool takes zero parameters, so the baseline is 4; there is nothing for the description to disambiguate. It does not, however, note that the brand must already be selected via nitro_select_brand.
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 verb 'Read' plus resource 'brand memory' names a specific resource, and the sibling nitro_set_memory hints at the write counterpart. However, 'memory' is never defined — what is stored, whether it is per-brand or per-account, and what comes back are all left opaque.
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 when-to-use guidance, no exclusions, and no acknowledgment of the nitro_set_memory sibling it obviously pairs with. The agent must infer that this is the retrieval half of a read/write pair.
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.