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Forget Taste

forget_taste
DestructiveIdempotent

Delete one entry from the org's learned taste by its id (from get_profile taste or remember_taste). This is how the user's "undo" works.

Input Schema

NameRequiredDescriptionDefault
tasteIdYestasteId (path).
commandIdNoRetry identity. A call repeated with the same commandId returns the first result instead of acting twice.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed5 schema fields changed
    • addedInput schema / $defs
      Added value: +{
      +  "__schema0": {
      +    "maxLength": 128,
      +    "minLength": 1,
      +    "type": "string"
      +  }
      +}
    • addedInput schema / properties / commandId / $ref
      Added value: +"#/$defs/__schema0"
    • removedInput schema / properties / commandId / maxLength
      Removed value: -128
    • removedInput schema / properties / commandId / minLength
      Removed value: -1
    • removedInput schema / properties / commandId / type
      Removed value: -"string"
  2. Added

TDQS

A4.2/5.0
Behavior3/5

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

Annotations already declare destructiveHint=true, idempotentHint=true, and readOnlyHint=false, so the safety profile is covered. The description adds useful framing (org-scoped, an undo of a learned preference, so low blast radius), but says nothing about what happens with an unknown or already-deleted id, or whether the removal is permanent versus soft.

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?

Two short sentences, zero padding, with the core action and id source front-loaded and the undo framing used as a closing hook rather than filler.

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?

For a two-parameter, single-required delete with full annotation coverage and no output schema, the description supplies what an agent needs: what it deletes, how to obtain the id, and why a user would invoke it. Only edge-case behavior (missing id, repeat with a different commandId) is left to the schema and annotations.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% and commandId's retry semantics are documented in the schema, so the baseline is 3. The description earns a step up by documenting the provenance of tasteId (get_profile `taste` or remember_taste), which the schema does not say.

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 cardinality ('Delete one entry'), the exact resource ('the org's learned taste'), and the keying parameter ('by its id'). It also implicitly distinguishes itself from remember_taste and list_taste by naming where the id comes from, so an agent can separate it from siblings without opening schemas.

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 the trigger context explicitly: 'This is how the user's "undo" works,' which tells the agent when to reach for it, and points to get_profile `taste` / remember_taste as the id source. It stops short of naming an alternative or a when-not condition, but the use case is unambiguous.

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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