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record_response

Store key takeaways from significant exchanges to capture important insights for future reference within AI coding workflows.

Instructions

Store key takeaways from significant exchanges. NOT for permanent preferences or standing rules — use add_to_memory_bank for those.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
key_takeawayYes
Behavior2/5

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. While 'Store' implies a write/mutation operation, the description doesn't disclose important behavioral traits like whether this requires specific permissions, if stored takeaways are editable/deletable, how they're organized/retrieved, or what the response looks like. For a mutation tool with zero annotation coverage, this is a significant gap.

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 perfectly concise with just two sentences that each earn their place. The first sentence states the purpose, and the second provides crucial exclusion guidance. There's zero waste or redundancy, and the information is front-loaded effectively.

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

Completeness3/5

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

Given this is a mutation tool with no annotations and no output schema, the description does an adequate but incomplete job. It clearly defines the tool's purpose and usage boundaries, but lacks details about behavioral traits (permissions, mutability, response format) that would be important for an agent to use it correctly. The parameter semantics are partially addressed, but not fully.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema has 1 parameter with 0% description coverage, so the description must compensate. It provides meaningful context about the 'key_takeaway' parameter by specifying it should contain takeaways 'from significant exchanges' and contrasting it with 'permanent preferences or standing rules'. This adds semantic value beyond the bare schema, though it doesn't specify format or length constraints.

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 clearly states the tool's purpose with a specific verb ('Store') and resource ('key takeaways from significant exchanges'). It explicitly distinguishes this tool from its sibling 'add_to_memory_bank' by stating what it's NOT for ('NOT for permanent preferences or standing rules'), making the differentiation unambiguous.

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?

The description provides explicit usage guidelines by stating when to use this tool ('Store key takeaways from significant exchanges') and when NOT to use it ('NOT for permanent preferences or standing rules'). It also names the alternative tool to use instead ('use add_to_memory_bank for those'), giving complete guidance on tool selection.

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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