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sage_corroborate

Independently corroborate an existing memory as a second source, upgrading it from attributed to consensus. Strengthen multi-agent trust through verified observations.

Instructions

Corroborate an existing memory: independently back it as the calling agent to reinforce a memory you have verified or observed from a second source. Corroboration is the multi-agent trust signal: once two or more distinct agents back a memory it transitions from attributed to consensus. A node cannot corroborate its own memory.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
evidenceNoOptional supporting note or source backing the corroboration
memory_idYesID of the memory to corroborate
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden. It states the trust signal mechanism and the self-corroboration restriction, but does not disclose return values, side effects, permissions, or idempotency.

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?

Three concise sentences, each adding value: action and purpose, conceptual explanation, and a key constraint. No wasted words.

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

Completeness4/5

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

Given no annotations and no output schema, the description explains the tool's role in multi-agent consensus reasonably well. It lacks information about return behavior or state changes, but parameter coverage is complete.

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

Parameters3/5

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

Schema coverage is 100%: both parameters have descriptions. The description adds context about corroboration but does not elaborate beyond the schema for evidence or memory_id. Baseline 3 is appropriate.

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 action ('corroborate an existing memory') and the resource (memory). It distinguishes from sibling tools by explaining it is a multi-agent trust signal and that a node cannot corroborate its own memory.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description specifies when to use it: to independently back a memory verified or observed from a second source. It explains the transition from attributed to consensus. It does not explicitly exclude scenarios or name alternatives, but the context is clear.

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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