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log_output

Log outputs to enable automatic pattern mining and contextual recall from activity history.

Instructions

Log an output for pattern mining. Called automatically or manually.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
contentYesOutput content to log for pattern mining
session_idNoSession ID for provenance tracking

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations are provided, so the description bears full responsibility for behavioral disclosure. It merely states the tool logs output, without mentioning side effects, idempotency, permissions, or any constraints beyond the basic action.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely concise at one sentence, front-loading the core purpose. While brief, it avoids waste; however, 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.

Completeness2/5

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

Given the tool's low complexity (2 parameters, no nesting) and the presence of an output schema, the description is incomplete. It lacks context on when manual invocation is appropriate and does not explain the output schema's role.

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?

The input schema has 100% coverage with descriptions for both parameters (content and session_id). The description adds no additional meaning beyond the schema, so baseline 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool logs output for pattern mining, specifying a verb (log) and resource (output for pattern mining). It also notes it can be called automatically or manually. However, it does not fully distinguish from similar logging tools among siblings, though none are obvious.

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

Usage Guidelines2/5

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

The description only mentions the tool can be called automatically or manually, providing no explicit guidance on when to use it versus alternative tools, nor any conditions or prerequisites.

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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