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tune_weights

Read-onlyIdempotent

Learn per-repository signal-fusion weights from the ranking ledger to optimize retrieval. Computes and optionally persists tuning overrides based on historical events.

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?

Annotations declare readOnlyHint=true, destructiveHint=false, idempotentHint=true, openWorldHint=false. The description confirms the read-only default and adds details about the output file and dry_run behavior, adding value beyond annotations.

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?

Three sentences with no redundant information: front-loads purpose, then prerequisites, then default behavior, then return format. Every sentence is necessary.

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 complexity (2 params, no output schema, good annotations), the description covers purpose, prerequisites, default behavior, and return format. Could theoretically mention what 'weights' means but not essential.

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% with clear descriptions for dry_run and min_events. The description does not add significant new semantic info beyond confirming defaults, so baseline 3 is appropriate.

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 tool's action: 'read the persistent ranking ledger and learn per-repo signal-fusion weights', with a specific output file. This distinguishes it from sibling tools that are mostly analysis or retrieval.

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?

Provides prerequisite ('Requires telemetry.enabled in config') and default behavior ('dry_run=true unless explicitly disabled'). Does not explicitly state when to use alternatives, but siblings are mostly different in nature.

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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