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skip_recommendation

Skip: permanently suppress a House Review recommendation

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
recommendationIdYesId of a pending recommendation, taken from the id field of an item returned by get_house_review.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
itemsYes
titleNo
messageNo
variantNo

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Changed3 schema fields changed
    • addedInput schema / examples
      Added value: +[
      +  {
      +    "recommendationId": "0195e3c1a2b34c5d6e7f8091a2b3c4d5"
      +  }
      +]
    • addedInput schema / properties / recommendationId / description
      Added value: +"Id of a pending recommendation, taken from the id field of an item returned by get_house_review."
    • addedInput schema / properties / recommendationId / examples
      Added value: +[
      +  "0195e3c1a2b34c5d6e7f8091a2b3c4d5"
      +]
  2. First observed

TDQS

A4/5.0
Behavior4/5

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

Annotations indicate this is a mutation (readOnlyHint=false) but not destructive (destructiveHint=false). The description adds the important behavioral detail that the suppression is 'permanent', which implies irreversibility. This goes beyond the annotations and clarifies a key side effect, though it could still mention if there is any way to undo it.

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 one short sentence that is front-loaded with the action word 'Skip'. Every word earns its place, and it is highly memorable and scannable.

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 simplicity (one parameter, schema coverage 100%, output schema present, annotations available), the description is mostly complete. It captures the core behavior without needing to explain return values or nested objects. However, it could have mentioned the relationship to defer_recommendation or irreversibility, so it is not perfect.

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?

The schema description covers 100% of the parameter (recommendationId) with a clear explanation of where the ID comes from (get_house_review). The tool description itself does not repeat or add any parameter details, so the baseline of 3 is appropriate since 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?

The description uses the specific verb 'suppress' with the resource 'House Review recommendation' and adds 'permanently', which clearly states both the action and scope. This distinguishes it from the sibling 'defer_recommendation', which likely implies a temporary action.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is implied by the word 'Skip' and the phrase 'permanently suppress', but there is no explicit instruction on when to use this tool versus alternatives like defer_recommendation. No exclusions or prerequisites are mentioned, leaving the agent to infer based on context.

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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TDQS

A3.9/5.0
Disambiguation5/5

Each tool targets a distinct resource and action, with clear descriptions separating similar-sounding tools like create_calendar_event vs create_recurring_calendar_event. Shopping list operations (add, buy, remove, update) are clearly delineated.

Naming Consistency5/5

All tools follow a verb_noun snake_case pattern: create_*, list_*, update_*, delete_*, get_*, etc. Even special operations like store_memory, recall_memory, and skip_recommendation fit the pattern.

Tool Count1/5

With 68 tools, this server vastly exceeds a reasonable scope; the instruction manual indicates 50+ tools is an extreme mismatch. The breadth suggests the server should be split into focused sub-servers (tasks, shopping, calendar, etc.) rather than a single monolithic interface.

Completeness5/5

The tool surface covers full CRUD/lifecycle for all major resources: tasks, shopping, calendar, contacts, documents, appliances, vehicles, pets, recipes, meal plans, subscriptions, and memories. Additional features like house review, weather, and profile round out the household management domain.

Resources