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optimize_runs

Check the review progress of optimization runs, including counts of pending, applied, and rejected suggestions, along with notes and backup paths.

Instructions

List optimization runs with their review progress.

Read-only companion to optimize_stage: after staging, use this to see whether the user has applied/rejected your suggestions in the admin dashboard. Each run carries total/pending/applied/rejected counts, its note, and the safety-backup path once the first apply happened. Applying/rejecting stays in the dashboard by design -- the agent proposes, the human disposes.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

Despite no annotations, the description fully discloses read-only nature, the counts, note, and safety-backup path, and the workflow division. Could be 5 but lacks explicit mention of no side effects beyond read.

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?

Two paragraphs with front-loaded purpose and concise supplementary context. Slightly wordy but every sentence adds value; no redundancy.

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

Completeness5/5

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

The description fully covers purpose, usage timing, output contents, and relationship to sibling tool, leaving no gaps for this simple list tool with no parameters.

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?

With zero parameters and 100% schema coverage, baseline is 4. The description adds value by explaining the output fields (counts, note, backup path) which enriches understanding beyond the empty schema.

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 verb 'List' and the resource 'optimization runs', and distinguishes itself from optimize_stage by specifying it's a read-only companion for post-staging review.

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?

Explicitly says 'after staging, use this to see whether the user has applied/rejected your suggestions in the admin dashboard' and clarifies that applying/rejecting stays in the dashboard, effectively guiding when and when not to use.

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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