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update_assertion

Update an existing assertion in a knowledge graph by modifying its context or confidence level without deleting the edge.

Instructions

Update an existing edge in the knowledge graph.

Use this to change the context or confidence of a previously recorded assertion without deleting and re-creating it.

Example: update_assertion(fact_id="edge-abc123", confidence=0.5, context="Partially confirmed after testing")

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
fact_idYesID of the assertion/edge to update
contextNoUpdated context or evidence
confidenceNoUpdated confidence level 0-1
Behavior2/5

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

No annotations provided, so description carries full burden. Only notes the tool is an update (non-destructive replacement) but lacks details on permissions, side effects, idempotency, or return behavior.

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?

Two sentences plus an example, front-loaded with main action. No superfluous words; every sentence adds value.

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?

For a 3-parameter mutation tool with no output schema, the description effectively explains purpose, usage, and parameters. Could mention return values or side effects, but not critical.

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 covers all 3 parameters (100% coverage), so baseline is 3. Description adds context via example and brief explanations (fact_id, context, confidence) beyond schema definitions.

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?

Explicitly states 'Update an existing edge in the knowledge graph' with specific verb and resource. Clearly distinguishes from siblings like add_assertion and delete_assertion.

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?

States 'Use this to change the context or confidence of a previously recorded assertion without deleting and re-creating it', providing clear context for when to use. Does not explicitly mention when not to use or list alternatives, but the purpose 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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