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Remove a watch-by-profile rule

jt_watch_rule_remove
DestructiveIdempotent

Delete a watch-by-profile rule by id (ids come from jt_watch_rules_list). Does not touch explicit registrations from jt_watch_set/jt_watch_add. Requires a Jet Tracker account connection (OAuth or an account key), not a system key.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesRule id, from jt_watch_rules_list.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
codeNoMachine-readable error code (INTERNAL, TIMEOUT, INVALID_ARGUMENT, NOT_FOUND, TOOL_FAILED, ACCOUNT_KEY_REQUIRED).
_metaNo
errorNo
foundNo
gatedNo
requestIdNo
retryableNo
quota_exceededNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedOutput schema / properties / _meta / required
      Previous value: -[
      -  "tool",
      -  "tier",
      -  "source",
      -  "asOf",
      -  "gated",
      -  "via"
      -]New value: +[
      +  "tool",
      +  "source",
      +  "asOf",
      +  "gated",
      +  "via"
      +]
  2. Added

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare destructiveHint=true, readOnlyHint=false and idempotentHint=true, so the safety profile is covered structurally. The description adds real value beyond that: the mutation is narrow (profile rules only, not explicit registrations) and requires an account connection/OAuth rather than a system key, which is an auth constraint annotations cannot express.

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 short sentences, front-loaded with the core action and scope, then the non-effect, then the auth requirement. No filler or restatement of the title.

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?

An output schema exists, so return values need no explanation. The description covers the action, the id source, the scope boundary versus sibling watch tools, and the auth requirement — everything needed to call this destructive one-param tool correctly.

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% and the single id parameter is documented in the schema, so the description's mention that ids come from jt_watch_rules_list largely duplicates the schema text. Baseline 3 is appropriate when the schema does the heavy lifting.

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 specific verb and resource ('Delete a watch-by-profile rule by id') and immediately scopes it against the neighboring concepts (explicit registrations from jt_watch_set/jt_watch_add). An agent can distinguish this from jt_watch_remove and jt_watch_rule_add without opening any schema.

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?

Tells the agent where the required id comes from (jt_watch_rules_list) and explicitly what this tool does NOT affect (explicit registrations), which is the key routing distinction among several watch-related siblings. The auth prerequisite is stated as a condition on 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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