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Review the results of a dog-breed test drive

review_test_drive
Read-onlyIdempotent

Use this when the user reports back on a TheDogs.app test drive plan (by plan ID or by describing how the trials went). Reviews a finished TheDogs.app test drive: takes the plan_id and, for each trial, whether it worked, was a struggle, or was skipped. Returns three blocks (Worked / Needs a solution / Not yet known), a fix for each struggle, an overall readout that weighs the decisive trial most, and better-matching, easier-to-find breeds when it didn't go well. Use when the user reports back on a test drive. Trial keys come from the plan (exercise, alone, coat, noise, space, kids, training, budget); map the user's words to them and leave out trials they didn't mention. Nothing is stored. In apps that display widgets, a visual card with these results is shown to the user; there, keep your text reply short and do not repeat every number or list from the card.

Input Schema

NameRequiredDescriptionDefault
plan_idYesThe plan ID from create_test_drive_plan, e.g. td1.border-collie.7.0010110101
resultsYesOutcome per trial

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.6/5.0
Behavior5/5

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

Beyond the readOnly/idempotent/non-destructive annotations, it discloses that nothing is stored and, crucially, prescribes agent behavior when a widget card is present ('keep your text reply short and do not repeat every number or list from the card'). That is a substantive behavioral trait not captured by the annotations.

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?

The definition is front-loaded, putting the trigger and return shape before implementation details. It loses a point for redundancy, restating 'Use when the user reports back on a test drive' after already opening with that same condition.

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 no output schema, the description compensates by describing the returned blocks (Worked / Needs a solution / Not yet known) and the fallback breed suggestions. Combined with the mapping rules and widget-response guidance, an agent has everything needed to call and report correctly.

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%, so the baseline is 3. The description still adds meaning: it explains that trial keys come from the plan, lists the mapping vocabulary, instructs the agent to map the user's words onto those keys, and to omit unmentioned trials — guidance the enum schema cannot provide.

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 names a specific verb and resource ('Reviews a finished TheDogs.app test drive') and enumerates the concrete outputs (three result blocks, a fix per struggle, a readout). It is clearly distinguishable from the sibling create_test_drive_plan, which produces the plan this tool consumes.

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?

It states a clear trigger ('Use this when the user reports back on a test drive plan') and even allows two input modes, by plan ID or by describing how trials went. It does not name when-not-to-use or point at a sibling alternative, keeping it short of a 5.

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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