memory_for_path
Retrieve repository-specific memories linked to a given file path.
Instructions
Return repo memories bound to a path.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| path | Yes | ||
| limit | No |
Retrieve repository-specific memories linked to a given file path.
Return repo memories bound to a path.
| Name | Required | Description | Default |
|---|---|---|---|
| path | Yes | ||
| limit | No |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, and the description does not disclose behavioral traits such as idempotency, authentication requirements, or side effects. The verb 'Return' suggests a read operation, but it is not explicitly stated.
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 concise sentence, which is appropriate for a simple tool. However, given low schema coverage, it could include more detail without becoming verbose.
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 output schema and no annotations, the description fails to explain return values, pagination, or any constraints. It is insufficient for an AI agent to fully understand 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?
Schema description coverage is 0%, and the description does not explain any parameters. For example, 'path' and 'limit' are not defined beyond their types and defaults, leaving ambiguity for an AI agent.
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 ('Return') and resource ('repo memories bound to a path'), distinguishing it from sibling tools that bind to symbols or call paths. However, it could be more specific about what constitutes 'repo memories'.
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 on when to use this tool versus alternatives like memory_for_symbol or memory_search. No mention of prerequisites or context for optimal use.
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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