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fixmyplant.io

fixmyplant_care_guide

Destructive

Returns a care guide covering light, watering, soil, feeding, temperature, pruning and common problems. Needs a write-scoped key; each call is metered. Pricing: {"unit": "call", "price_usd": null, "pricing_url": "https://fixmyplant.io/pricing", "free_quota": 0, "per_key_daily_cap": 25, "note": "Needs a scoped API key. The per-call price is not published yet; keys are issued on request."}.

Input Schema

NameRequiredDescriptionDefault
confirmYesMust be true. This action is paid or destructive.
plant_nameYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.1/5.0
Behavior3/5

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

The annotations already declare destructiveHint=true, readOnlyHint=false, and idempotentHint=false. The description adds useful operational context about write-scoped authentication, per-call metering, a daily cap of 25, and zero free quota, but it does not explain what destructive effect occurs or why a care-guide-returning tool is destructive.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The purpose is front-loaded in the first sentence, which is clear and useful. The pricing JSON is bulky and includes a null price plus a repeated note, making the description less efficient than it could be.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description covers what the tool returns, auth requirements, and rate-limit constraints, which is enough for basic invocation. However, without an output schema, it provides only a topic list rather than return format details, and it leaves the destructive side effect unexplained.

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

Parameters2/5

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

There are two parameters at 50% schema description coverage: confirm is described in the schema, but plant_name is undocumented in both schema and description. The description does not compensate by clarifying parameter meaning or usage, and its auth/pricing details do not explain the parameters.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb and resource: it returns a care guide covering light, watering, soil, feeding, temperature, pruning, and common problems. This is specific enough to distinguish the tool's main purpose, though it does not explicitly differentiate it from sibling tools such as toxicity or about.

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 stated purpose, and the description notes that a write-scoped key is required and each call is metered. However, it gives no explicit guidance on when to use this tool versus alternatives or when not to use it.

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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