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Skyelight

by ai.skyelight
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Save a rule

save_rule
Idempotent

Keep a rule the team agreed on ("sentence case in every button", "the brand gray stays, do not raise contrast bugs on it") in the project's context, under Rules learned. The classifier reads that context, and every agent reads it through decision_log, so it shapes future threads. Cite the threads it came from. Workspace owners and admins only; confirm with the person before saving.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "rule": "<rule>"
    },
    "name": "save_rule"
  }
}

Input Schema

NameRequiredDescriptionDefault
ruleYesThe rule, in one plain sentence.
projectIdNoOptional if a project is bound.
sourceItemIdsNoItems the rule came from.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.4/5.0
Behavior5/5

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

Goes well beyond the annotations by explaining the effect of the write: the rule lands in project context under 'Rules learned', the classifier reads it, and agents see it via decision_log, shaping future threads. It also discloses the permission requirement and the human-confirmation expectation, which the annotations cannot convey.

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?

Front-loads the action and storage location, then layers in downstream effects and the permission/confirmation caveat. Each sentence carries information, though the density of clauses makes it slightly heavier than needed.

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?

With annotations covering safety/idempotency, a fully documented 3-parameter schema, and no output schema, the description supplies everything an agent needs: persistence target, who can call it, downstream impact, and the pre-save confirmation norm.

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 baseline is 3. The description's 'cite the threads it came from' loosely reinforces sourceItemIds and the 'project's context' phrase hints at projectId, but neither adds format or constraint detail beyond the 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?

States a concrete verb and resource ("Keep a rule ... in the project's context, under Rules learned") and grounds it with two example rules, so an agent can distinguish it from reads like decision_log and from item-creation tools. The storage location and downstream consumers are named explicitly.

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?

Gives clear operational context: cite the source threads, restrict to workspace owners/admins, and confirm with the person before saving. It implies the alternative (decision_log is the read path) but does not explicitly say when *not* to save a rule versus other options.

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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