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chatlog_write

Append a chat turn to the persistent memory log with provenance details. Returns row ID immediately via async queue.

Instructions

Append one chat turn to the chat log DB. Provenance (host_agent, provider, model_id, conversation_id) is required. Writes are async-queued — returns the row id immediately.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
roleYes
contentYes
user_idNo
agent_idNo
cost_usdNo
databaseNo
metadataNo{}
model_idYes
providerYes
tokens_inNo
host_agentYes
latency_msNo
tokens_outNo
turn_indexNo
conversation_idYes
Behavior4/5

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

Reveals async-queued behavior and immediate return of row id, adding important context beyond the schema. No annotations exist to contradict.

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 effectively convey core purpose and behavior with no redundancy. Front-loaded with the main action.

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

Completeness2/5

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

For a tool with 15 parameters and no output schema, the description covers basic behavior but omits details on optional parameters and return structure, leaving gaps for an AI agent.

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

Parameters2/5

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

Description does not describe individual parameters beyond stating required provenance, which is already in the schema. With 0% schema coverage, the description fails to compensate.

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?

Clearly states 'Append one chat turn to the chat log DB' which identifies the verb and resource. Siblings like chatlog_search confirm distinct write functionality.

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

Usage Guidelines3/5

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

Only mentions required provenance fields but does not provide guidance on when to use this tool versus alternatives like chatlog_search for reading.

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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