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tune_weights

Read-onlyIdempotent

Reads the persistent ranking ledger to learn and update per-repo signal-fusion weights for retrieval tuning, with a read-only dry run mode by default.

Instructions

Self-tuning retrieval: read the persistent ranking ledger and learn per-repo signal-fusion weights, written to ~/.trace-mcp/tuning.jsonc. Requires telemetry.enabled in config. Read-only by default (dry_run=true unless explicitly disabled). Returns JSON: { applied, reason, weights?, before?, events_used? }.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dry_runNoWhen true (default), compute weights without persisting to disk.
min_eventsNoMinimum ledger events required before writing a tuning override (default 25).
Behavior4/5

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

The description adds behavioral context beyond annotations by stating the read-only default (dry_run=true) and output format. It aligns with annotations (readOnlyHint, idempotentHint) and does not contradict them.

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?

The description is concise with four sentences, front-loading the main action. No unnecessary information.

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 the tool's simplicity (2 optional params, no output schema), the description covers purpose, prerequisites, default behavior, and return format. It could elaborate on consequences of disabling dry_run, but overall sufficient.

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%, so the schema sufficiently documents both parameters. The description marginally adds value by explaining the dry_run default in context, but no additional insight for min_events.

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's verb ('read and learn per-repo signal-fusion weights') and resource ('persistent ranking ledger'), with a specific output location. However, it does not distinguish from the sibling tool 'tune_decision_weights', which may cause confusion.

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 includes a prerequisite ('Requires telemetry.enabled in config') but lacks explicit guidance on when to use this tool over alternatives like 'tune_decision_weights'. No when-not or alternative references are provided.

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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