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Read AutoPilot zero-touch metrics

autopilot_zero_touch_metrics
Read-onlyIdempotent

Scan AutoPilot ledger rows to compute zero-touch scoring, validating human_touch_count=0 before closing a canary.

Instructions

Reads AutoPilot ledger rows and returns zero-touch scoring. Use before closing a canary or claiming human_touch_count=0.

Input Schema

NameRequiredDescriptionDefault
limitNoMaximum recent ledger rows to scan.
ref_idNoOptional object id filter.
ref_kindNoOptional object type filter.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv0.1.11

TDQS

A3.7/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, and openWorldHint=false, so the safety profile is covered. The description adds that it reads ledger rows and returns zero-touch scoring, but it does not explain the scoring structure, ordering, or any limits beyond what the schema provides.

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 two short sentences with no wasted words. The core action is stated first and the usage condition follows immediately.

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

Completeness3/5

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

The schema and annotations are rich, and the usage trigger is useful. However, because there is no output schema, the description should say more about what the zero-touch scoring output contains; right now an agent knows when to call it but not what to expect back.

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 description coverage is 100%, so all three optional parameters are already documented in the input schema. The description does not add meaning beyond the schema, such as how ref_kind interacts with ref_id or how limit affects scoring, so the baseline of 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 gives a specific verb and resource: it reads AutoPilot ledger rows and returns zero-touch scoring. This is clear enough to understand the tool's role, though it does not explicitly differentiate itself from the related autopilot_record_event sibling.

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?

The description gives an explicit usage trigger: use it before closing a canary or claiming human_touch_count=0. It does not describe when not to use it or name alternatives, but the context is clear.

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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